The study evaluated the acceptability of a proposed Vidar virus radar system that uses mobile phones and wireless networks to track locations and notify users of potential contagion risks. A survey of 59 hospital employees and patients found that most were willing to pay substantial amounts for the phone and monthly service, indicating high acceptability. Willingness to pay tended to increase with higher education/income up to a threshold of €200-300 monthly income. The most representative respondent was willing to pay €50/month for the service and €150 for the phone on a €300 monthly salary. This suggests the system would be economically feasible for hospitals.
This document discusses trends in healthcare and health technology. It notes challenges like rising healthcare costs, aging populations, and physician shortages that are driving new models of care focused on health and wellness. It describes a continuum of care from home care to residential care to acute care, with the goal of high quality of life at lowest cost. It discusses how social networks and health 2.0 platforms can create value by connecting more users. Finally, it outlines how technologies like electronic medical records, clinical decision support systems, personal health records, and health information exchanges can help enable coordinated care across settings to improve outcomes and lower costs.
The document discusses the use of computers and technology in medicine. It covers topics like telemedicine, different medical imaging technologies like MRI, CT scans, mammography and ultrasound. It also discusses the importance of telemedicine in increasing access to healthcare and reducing costs, as well as some issues regarding telemedicine like the need for appropriate infrastructure and privacy concerns.
Telemedicine involves using telecommunications technologies to provide remote medical services. It allows specialists to consult with patients and healthcare providers in remote locations. The key benefits are improved access to specialized care for rural communities, reduced travel costs, and opportunities for continuing medical education. However, implementing telemedicine also faces challenges related to infrastructure, technology adoption, interoperability, and cost. Standards like DICOM help address some challenges by facilitating sharing of medical images between systems.
The document discusses giving patients more control over their health records by allowing them access to their full electronic health records. It argues that patients are in the best position to coordinate their care across different specialists and institutions, as they are the only common party that interacts with all caregivers. The document also presents some case studies of organizations that have successfully implemented more patient-controlled personal health records, including Great Ormond Street Hospital, UCL Hospital, and Novartis. It envisions a future where patients can take a more active role in managing their health data and sharing information with clinicians.
Home health care & long-term conditions: How to succeed with personal health ...Mohammad Al-Ubaydli
Dr Mohammad Al-Ubaydli (CEO of Patients Know Best)
Dr Al-Ubaydli is author of the book "Personal health records: A guide for clinicians", in which he surveyed the different ways in which patients can work with their clinical team using software. A new generation of tools allows patients to manage their health and Mohammad will cover some of these in his talk, including products by large US companies like Google and Microsoft, as well as the UK software industry. He will also describe the experiences of his own company, Patients Know Best, which integrates its patient-controlled medical records platform into the NHS secure network.
IMAGE QUALITY ASSESSMENT FOR FAKE BIOMETRIC DETECTION: APPLICATION TO IRIS, F...ijiert bestjournal
In this Paper,the actual presence of a real legitimate trait in contrast to a fake self - manufactured synthetic or reconstructed sample is a significant problem in biometric authentication,which requires the development of new and efficient protection measures. In this paper,we present a novel software - based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The obje ctive of the proposed system is to enhance the security of biometric recognition frameworks,by adding livens assessment in a fast,user - friendly,and non - intrusive manner,through the use of image quality assessment. The proposed approach presents a very low degree of complexity,which makes it suitable for real - time applications,using 25 general image quality features extracted from one image (i.e.,the same acquired for authentication purposes) to distinguish between legitimate and impostor samples. The experimental results,obtained on publicly available data sets of fingerprint,iris,and 2D face,show that the proposed method is highly competitive compared with other state - of - the - art approaches and that the analysis of the general image quality of rea l biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits.
Sting Stigma Eradication Application forms the lifetime of fighting Stigma related to HIV/AIDS in Kenya and other developing countries in Africa. However, through this project there is remarkable improvement in approach of dealing with people affected or infected by HIV. It is therefore a turning point to a long journey of fighting the diseases in the entire continent. The IT initiative has encouraged various organizations to develop systems to facilitate their day to day operations. SSEA incorporates various modules for automating service delivery and enhancing communication between the concerned parties and thus help in saving time and operations thus increasing efficiency. The purpose of this solution is to present the software engineering approach for development which focuses on the set of activities and associated results to develop a Sting Stigma Eradication Application meant to perform some of services delivery necessary for individuals affected by HIV/AIDS automatically at their comfort by use of widely used technology, mobile and web technology.
Security Issues in Biomedical Wireless Sensor Networks Applications: A SurveyIJARTES
Abstract The use of wireless sensor networks in healthcare
applications is growing in a fast pace. Numerous applications
such as heart rate monitor, blood pressure monitor and
endoscopic capsule are already in use. To address the growing
use of sensor technology in this area, a new field known as
wireless body area networks has emerged. As most devices
and their applications are wireless in nature, security and
privacy concerns are among major areas of concern. Body
area networks can collect information about an individual’s
health, fitness and energy expenditure. Comprising body
sensors that communicate wirelessly with the patients
control device for monitoring and external communication.
This paper provides the challenges of using the wireless
sensor network in biomedical field and how to solve most of
these issues. To analyze the different security strategies in
Wireless Sensor Networks and propose this system to give
highest quality medical care with full security in their
reliability
This document discusses trends in healthcare and health technology. It notes challenges like rising healthcare costs, aging populations, and physician shortages that are driving new models of care focused on health and wellness. It describes a continuum of care from home care to residential care to acute care, with the goal of high quality of life at lowest cost. It discusses how social networks and health 2.0 platforms can create value by connecting more users. Finally, it outlines how technologies like electronic medical records, clinical decision support systems, personal health records, and health information exchanges can help enable coordinated care across settings to improve outcomes and lower costs.
The document discusses the use of computers and technology in medicine. It covers topics like telemedicine, different medical imaging technologies like MRI, CT scans, mammography and ultrasound. It also discusses the importance of telemedicine in increasing access to healthcare and reducing costs, as well as some issues regarding telemedicine like the need for appropriate infrastructure and privacy concerns.
Telemedicine involves using telecommunications technologies to provide remote medical services. It allows specialists to consult with patients and healthcare providers in remote locations. The key benefits are improved access to specialized care for rural communities, reduced travel costs, and opportunities for continuing medical education. However, implementing telemedicine also faces challenges related to infrastructure, technology adoption, interoperability, and cost. Standards like DICOM help address some challenges by facilitating sharing of medical images between systems.
The document discusses giving patients more control over their health records by allowing them access to their full electronic health records. It argues that patients are in the best position to coordinate their care across different specialists and institutions, as they are the only common party that interacts with all caregivers. The document also presents some case studies of organizations that have successfully implemented more patient-controlled personal health records, including Great Ormond Street Hospital, UCL Hospital, and Novartis. It envisions a future where patients can take a more active role in managing their health data and sharing information with clinicians.
Home health care & long-term conditions: How to succeed with personal health ...Mohammad Al-Ubaydli
Dr Mohammad Al-Ubaydli (CEO of Patients Know Best)
Dr Al-Ubaydli is author of the book "Personal health records: A guide for clinicians", in which he surveyed the different ways in which patients can work with their clinical team using software. A new generation of tools allows patients to manage their health and Mohammad will cover some of these in his talk, including products by large US companies like Google and Microsoft, as well as the UK software industry. He will also describe the experiences of his own company, Patients Know Best, which integrates its patient-controlled medical records platform into the NHS secure network.
IMAGE QUALITY ASSESSMENT FOR FAKE BIOMETRIC DETECTION: APPLICATION TO IRIS, F...ijiert bestjournal
In this Paper,the actual presence of a real legitimate trait in contrast to a fake self - manufactured synthetic or reconstructed sample is a significant problem in biometric authentication,which requires the development of new and efficient protection measures. In this paper,we present a novel software - based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The obje ctive of the proposed system is to enhance the security of biometric recognition frameworks,by adding livens assessment in a fast,user - friendly,and non - intrusive manner,through the use of image quality assessment. The proposed approach presents a very low degree of complexity,which makes it suitable for real - time applications,using 25 general image quality features extracted from one image (i.e.,the same acquired for authentication purposes) to distinguish between legitimate and impostor samples. The experimental results,obtained on publicly available data sets of fingerprint,iris,and 2D face,show that the proposed method is highly competitive compared with other state - of - the - art approaches and that the analysis of the general image quality of rea l biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits.
Sting Stigma Eradication Application forms the lifetime of fighting Stigma related to HIV/AIDS in Kenya and other developing countries in Africa. However, through this project there is remarkable improvement in approach of dealing with people affected or infected by HIV. It is therefore a turning point to a long journey of fighting the diseases in the entire continent. The IT initiative has encouraged various organizations to develop systems to facilitate their day to day operations. SSEA incorporates various modules for automating service delivery and enhancing communication between the concerned parties and thus help in saving time and operations thus increasing efficiency. The purpose of this solution is to present the software engineering approach for development which focuses on the set of activities and associated results to develop a Sting Stigma Eradication Application meant to perform some of services delivery necessary for individuals affected by HIV/AIDS automatically at their comfort by use of widely used technology, mobile and web technology.
Security Issues in Biomedical Wireless Sensor Networks Applications: A SurveyIJARTES
Abstract The use of wireless sensor networks in healthcare
applications is growing in a fast pace. Numerous applications
such as heart rate monitor, blood pressure monitor and
endoscopic capsule are already in use. To address the growing
use of sensor technology in this area, a new field known as
wireless body area networks has emerged. As most devices
and their applications are wireless in nature, security and
privacy concerns are among major areas of concern. Body
area networks can collect information about an individual’s
health, fitness and energy expenditure. Comprising body
sensors that communicate wirelessly with the patients
control device for monitoring and external communication.
This paper provides the challenges of using the wireless
sensor network in biomedical field and how to solve most of
these issues. To analyze the different security strategies in
Wireless Sensor Networks and propose this system to give
highest quality medical care with full security in their
reliability
Realising the transformation agenda: enhancing citizen use of eGovernmentePractice.eu
Author: Paul Foley.
A key factor determining the benefits and impact of any eGovernment service is the number of users of the service and/or the frequency of use of a system. The use of electronically provided services is currently disappointing.
EU principles in modernisation of Justice and the Turkish IT project UYAPePractice.eu
The document discusses EU principles for modernizing justice systems and Turkey's role in this process. It focuses on e-justice initiatives. Some key EU principles are ensuring independent, efficient courts that can provide fair trials within a reasonable time frame. This requires modern equipment, qualified staff, and efforts to reduce case backlogs. Turkey's judicial IT project, UYAP, aims to improve efficiency and is cited as demonstrating Turkey's potential contribution to EU e-justice goals. The EU provides support through institutions like the Directorate General for Justice and through encouraging cooperation between member state judicial bodies.
The document summarizes various progressive reforms in the early 20th century including labor reforms like unions, strikes, and workplace safety laws. It also discusses city reforms to improve sanitation and eliminate slums. Moral reforms aimed at prohibiting alcohol are mentioned, though prohibition ultimately failed due to unenforceability and growth of organized crime. Reforms for racial equality are also outlined, including the founding of the NAACP to advance civil rights.
Three dimensions of organizational interoperability. Insights from recent stu...ePractice.eu
Authors: Herbert Kubicek, Ralf Cimander.
Interoperability (IOP) is considered a critical success factor to forge ahead in the online provi-sion of public services. Interoperability frameworks shall give guidance to practitioners what to consider and to do in order to enable seamless interaction with other public authorities and clients.
The document discusses key health information technologies and management strategies that will transform healthcare over the next two decades. It predicts that by 2020, 80% of health organizations will have implemented electronic health records, 80% of the general population will have personal health records, and 80% of systems will be connected through health information exchanges. Emerging technologies like genomics, nanotechnology, and telehealth solutions may be used by 20% of providers and patients by 2020 but will further transform healthcare between 2020 and 2040.
What Every Workers Compensation Lawyer Needs To Knowdbsdesign
This document provides an overview of the Fair Labor Standards Act (FLSA) and its overtime provisions for workers' compensation lawyers. It discusses that the FLSA requires overtime pay of 1.5 times an employee's regular rate for hours worked over 40 in a week. It notes that most employees are covered by the FLSA through broad definitions of employee and commerce. It also discusses exemptions for executive, administrative, professional, and other white-collar jobs if certain salary and duties tests are met.
ePractice workshop on Open Source Software, 7 April 2011- Szabolcs Szekaks, ...ePractice.eu
This document discusses the rationale and benefits of strategic collaboration between organizations. It argues that collaboration can improve visibility, reduce costs, increase transparency, remove barriers, and reduce time to market by allowing organizations to share resources and solutions. The document introduces the ISA Programme, which facilitates cross-border cooperation between public entities to jointly deliver electronic services. It lists key principles of the programme like technological neutrality and sharing of code, assets, and best practices. It also references related projects and websites for open-source software and interoperability.
Surfing, creating and networking: Tampere City Library drives into the Inform...ePractice.eu
Author: Elina Harju
At the Tampere City Library we are hoping to be interpreters of the information society and to encourage adults to find new ways to express, share and understand through hands-on media education.
NOVEL APPROACH TO MANAGE FEVER PATIENT USING MOBILE APPLICATIONIRJET Journal
This document presents a literature review and proposes a novel mobile application approach to manage fever patients. It discusses 12 relevant studies on telemedicine and online doctor consultations. It then proposes a mobile application with 5 modules: login, profile creation, check-up, prescription records, and reports. The login module includes separate login for admins, users, and doctors. The profile module collects patient and doctor details. The check-up module gathers symptom and health data to generate prescriptions. Prescription records stores past prescriptions. The reports module generates medical reports. Screenshots show example app pages for home, login, profile creation, prescription generation and approval. It concludes the app could provide virtual healthcare easily if expanded to support additional
NOVEL APPROACH TO MANAGE FEVER PATIENT USING MOBILE APPLICATIONIRJET Journal
This document summarizes a research paper that proposes a novel mobile application to manage fever patients. The mobile application would interact with patients to gather health data, generate prescriptions based on the data, and produce medical reports. The paper conducted a literature review on existing telemedicine and mobile health applications. It then described the proposed application's modules for user/doctor login, profile creation, checkups, prescription records, and reports. Screenshots were provided of the application's interface. The application was concluded to allow for a virtual healthcare service that is easy for people to use. It could be further developed to support additional languages and diseases.
2006 a wrist-worn_integrated_health_monitoring_instrument_with_a_tele-reporti...Gaurav Butail
The document describes the development of a wrist-worn integrated health monitoring device (WIHMD) with tele-reporting capabilities for use in telemedicine and home care applications. The WIHMD measures 6 vital signs: fall detection, single-channel ECG, noninvasive blood pressure, pulse oximetry, respiration rate, and body surface temperature. It is small at 60x50x20mm and lightweight at 200g. The device can automatically detect emergencies and transmit patient data via commercial cellular networks to caregivers for remote monitoring and emergency response. The goal is to provide continuous home monitoring and rapid emergency response through telemedicine to improve health outcomes.
Recognition of Corona virus disease (COVID-19) using deep learning network IJECEIAES
Corona virus disease (COVID-19) has an incredible influence in the last few months. It causes thousands of deaths in round the world. This make a rapid research movement to deal with this new virus. As a computer science, many technical researches have been done to tackle with it by using image processing algorithms. In this work, we introduce a method based on deep learning networks to classify COVID-19 based on x-ray images. Our results are encouraging to rely on to classify the infected people from the normal. We conduct our experiments on recent dataset, Kaggle dataset of COVID-19 X-ray images and using ResNet50 deep learning network with 5 and 10 folds cross validation. The experiments results show that 5 folds gives effective results than 10 folds with accuracy rate 97.28%.
A Predictive Model for Novel Corona Virus Detection with Support Vector MachineBRNSSPublicationHubI
This document summarizes a research article that developed a predictive model using support vector machines to detect novel coronavirus. The model was trained on a dataset of 2000 coronavirus test cases from an online repository. The model achieved 96.68% accuracy in detecting coronavirus. Key features like headache, sore throat and fever showed strong relationships to detecting coronavirus positive cases. The study aims to help medical experts detect coronavirus early through automated machine learning models.
Technology evolutions in disaster medicine - Crisis Response JournalEmily Hough
As medicine is always evolving, it is crucial for disaster medicine to apply technology, not as an exception, but as a necessity, Here is a glimpse of some ideas that might revolutionise disaster medicine in the future
Real Time Mask Detection Architecture for COVID PreventionIRJET Journal
The document presents a real-time mask detection architecture using deep learning to help prevent the spread of COVID-19. It describes collecting images of people with and without masks to train a convolutional neural network model. The trained model is then deployed using video streams from CCTV cameras to detect and identify in real-time if individuals are wearing a mask or not wearing a mask to help enforce social distancing and safety measures.
This document discusses a system for transferring physiological signal data from patients with chronic diseases living at home to a remote monitoring center. The system uses sensors to collect patients' vital signs and transmit the data via a local wireless network and the internet to a server interface at the monitoring center. The monitoring center interface allows physicians to view patients' physiological signals in real-time and access a database of patient information. The system is intended to provide remote monitoring, assistance and medical consultation to improve care for patients living at home with chronic conditions.
Optical sensing techniques for quality control of cathetersmbaltazar
This document discusses using optical spectroscopy techniques like reflectance spectroscopy for quality control testing of antimicrobial coatings on catheters. It describes how one catheter manufacturer is using an Ocean Insight spectrometer setup to measure coating concentration and uniformity onsite, providing a faster and less destructive alternative to traditional HPLC testing. The spectrometer measurements showed high correlation to HPLC results, demonstrating its effectiveness for ensuring catheter coating quality meets standards. Preventing device infections is important for patient safety and reducing healthcare costs.
IRJET- A Non-Invasive Health Monitoring System using Visible Light CommunicationIRJET Journal
This document discusses a non-invasive health monitoring system using visible light communication (VLC) or Li-Fi technology. It proposes using an LED and photodetector to continuously monitor blood glucose levels without drawing blood. The glucose levels would be transmitted via VLC to be viewed on a mobile phone. The system aims to reduce health monitoring costs. It provides background on Li-Fi and VLC technology. It then describes the proposed system in more detail, including using sensors, a microcontroller, and Li-Fi module to transmit sensor data via light to a receiver. This could help monitor patients continuously and notify of any abnormalities. Related work on using VLC for various health monitoring applications is also discussed, such as in hospitals where radio
Imran Sarwar Bajwa, [2010], "Virtual Telemedicine Using Natural Language Processing", International Journal of Information Technology and Web Engineering IJITWE 5(1):43-55, January 2010
Prediction analysis on the pre and post COVID outbreak assessment using machi...IJICTJOURNAL
In this time of a global urgency where people are losing lives each day in a large number, people are trying to develop ways/technology to solve the challenges of COVID-19. Machine learning (ML) and artificial intelligence (AI) tools have been employed previously as well to the times of pandemic where they have proven their worth by providing reliable results in varied fields this is why ML tools are being used extensively to fight this pandemic as well. This review describes the applications of ML in the post and pre COVID-19 conditions for contact tracing, vaccine development, prediction and diagnosis, risk management, and outbreak predictions to help the healthcare system to work efficiently. This review discusses the ongoing research on the pandemic virus where various ML models have been employed to a certain data set to produce outputs that can be used for risk or outbreak prediction of virus in the population, vaccine development, and contact tracing. Thus, the significance and the contribution of ML against COVID-19 are self-explanatory but what should not be compromised is the quality and accuracy based on which solutions/methods/policies adopted or produced from this analysis which will be implied in the real world to real people.
Insomnia analysis based on internet of things using electrocardiography and e...TELKOMNIKA JOURNAL
1. The document proposes a system to analyze insomnia remotely using electrocardiography and electromyography sensors connected via the Internet of Things. This allows for insomnia testing without patients needing to travel to healthcare centers.
2. The system collects ECG and EMG sensor data from patients and transmits it over the Internet to a server for analysis and visualization in real-time. Artificial neural networks are used to classify patient data and determine if they have insomnia.
3. Testing showed the system can accurately transmit patient data over the Internet, even at weak signal strengths. Error rates for data transmission were below 3% in all tests. This demonstrates the feasibility of the proposed remote insomnia analysis system using IoT-connected
Telemedicina i pacients crònics / Telemedicine in chronic patientsAntoni Parada
Telemedicina i pacients crònics. Conferència impartida pel Professor canadenc Denis Protti Health Information Science - Victoria University. Barcelona, 2 de febrer de 2012. Organitzada per la Fundació TicSalut i l’Agència d’Informació, Avaluació i Qualitat en Salut.
Realising the transformation agenda: enhancing citizen use of eGovernmentePractice.eu
Author: Paul Foley.
A key factor determining the benefits and impact of any eGovernment service is the number of users of the service and/or the frequency of use of a system. The use of electronically provided services is currently disappointing.
EU principles in modernisation of Justice and the Turkish IT project UYAPePractice.eu
The document discusses EU principles for modernizing justice systems and Turkey's role in this process. It focuses on e-justice initiatives. Some key EU principles are ensuring independent, efficient courts that can provide fair trials within a reasonable time frame. This requires modern equipment, qualified staff, and efforts to reduce case backlogs. Turkey's judicial IT project, UYAP, aims to improve efficiency and is cited as demonstrating Turkey's potential contribution to EU e-justice goals. The EU provides support through institutions like the Directorate General for Justice and through encouraging cooperation between member state judicial bodies.
The document summarizes various progressive reforms in the early 20th century including labor reforms like unions, strikes, and workplace safety laws. It also discusses city reforms to improve sanitation and eliminate slums. Moral reforms aimed at prohibiting alcohol are mentioned, though prohibition ultimately failed due to unenforceability and growth of organized crime. Reforms for racial equality are also outlined, including the founding of the NAACP to advance civil rights.
Three dimensions of organizational interoperability. Insights from recent stu...ePractice.eu
Authors: Herbert Kubicek, Ralf Cimander.
Interoperability (IOP) is considered a critical success factor to forge ahead in the online provi-sion of public services. Interoperability frameworks shall give guidance to practitioners what to consider and to do in order to enable seamless interaction with other public authorities and clients.
The document discusses key health information technologies and management strategies that will transform healthcare over the next two decades. It predicts that by 2020, 80% of health organizations will have implemented electronic health records, 80% of the general population will have personal health records, and 80% of systems will be connected through health information exchanges. Emerging technologies like genomics, nanotechnology, and telehealth solutions may be used by 20% of providers and patients by 2020 but will further transform healthcare between 2020 and 2040.
What Every Workers Compensation Lawyer Needs To Knowdbsdesign
This document provides an overview of the Fair Labor Standards Act (FLSA) and its overtime provisions for workers' compensation lawyers. It discusses that the FLSA requires overtime pay of 1.5 times an employee's regular rate for hours worked over 40 in a week. It notes that most employees are covered by the FLSA through broad definitions of employee and commerce. It also discusses exemptions for executive, administrative, professional, and other white-collar jobs if certain salary and duties tests are met.
ePractice workshop on Open Source Software, 7 April 2011- Szabolcs Szekaks, ...ePractice.eu
This document discusses the rationale and benefits of strategic collaboration between organizations. It argues that collaboration can improve visibility, reduce costs, increase transparency, remove barriers, and reduce time to market by allowing organizations to share resources and solutions. The document introduces the ISA Programme, which facilitates cross-border cooperation between public entities to jointly deliver electronic services. It lists key principles of the programme like technological neutrality and sharing of code, assets, and best practices. It also references related projects and websites for open-source software and interoperability.
Surfing, creating and networking: Tampere City Library drives into the Inform...ePractice.eu
Author: Elina Harju
At the Tampere City Library we are hoping to be interpreters of the information society and to encourage adults to find new ways to express, share and understand through hands-on media education.
NOVEL APPROACH TO MANAGE FEVER PATIENT USING MOBILE APPLICATIONIRJET Journal
This document presents a literature review and proposes a novel mobile application approach to manage fever patients. It discusses 12 relevant studies on telemedicine and online doctor consultations. It then proposes a mobile application with 5 modules: login, profile creation, check-up, prescription records, and reports. The login module includes separate login for admins, users, and doctors. The profile module collects patient and doctor details. The check-up module gathers symptom and health data to generate prescriptions. Prescription records stores past prescriptions. The reports module generates medical reports. Screenshots show example app pages for home, login, profile creation, prescription generation and approval. It concludes the app could provide virtual healthcare easily if expanded to support additional
NOVEL APPROACH TO MANAGE FEVER PATIENT USING MOBILE APPLICATIONIRJET Journal
This document summarizes a research paper that proposes a novel mobile application to manage fever patients. The mobile application would interact with patients to gather health data, generate prescriptions based on the data, and produce medical reports. The paper conducted a literature review on existing telemedicine and mobile health applications. It then described the proposed application's modules for user/doctor login, profile creation, checkups, prescription records, and reports. Screenshots were provided of the application's interface. The application was concluded to allow for a virtual healthcare service that is easy for people to use. It could be further developed to support additional languages and diseases.
2006 a wrist-worn_integrated_health_monitoring_instrument_with_a_tele-reporti...Gaurav Butail
The document describes the development of a wrist-worn integrated health monitoring device (WIHMD) with tele-reporting capabilities for use in telemedicine and home care applications. The WIHMD measures 6 vital signs: fall detection, single-channel ECG, noninvasive blood pressure, pulse oximetry, respiration rate, and body surface temperature. It is small at 60x50x20mm and lightweight at 200g. The device can automatically detect emergencies and transmit patient data via commercial cellular networks to caregivers for remote monitoring and emergency response. The goal is to provide continuous home monitoring and rapid emergency response through telemedicine to improve health outcomes.
Recognition of Corona virus disease (COVID-19) using deep learning network IJECEIAES
Corona virus disease (COVID-19) has an incredible influence in the last few months. It causes thousands of deaths in round the world. This make a rapid research movement to deal with this new virus. As a computer science, many technical researches have been done to tackle with it by using image processing algorithms. In this work, we introduce a method based on deep learning networks to classify COVID-19 based on x-ray images. Our results are encouraging to rely on to classify the infected people from the normal. We conduct our experiments on recent dataset, Kaggle dataset of COVID-19 X-ray images and using ResNet50 deep learning network with 5 and 10 folds cross validation. The experiments results show that 5 folds gives effective results than 10 folds with accuracy rate 97.28%.
A Predictive Model for Novel Corona Virus Detection with Support Vector MachineBRNSSPublicationHubI
This document summarizes a research article that developed a predictive model using support vector machines to detect novel coronavirus. The model was trained on a dataset of 2000 coronavirus test cases from an online repository. The model achieved 96.68% accuracy in detecting coronavirus. Key features like headache, sore throat and fever showed strong relationships to detecting coronavirus positive cases. The study aims to help medical experts detect coronavirus early through automated machine learning models.
Technology evolutions in disaster medicine - Crisis Response JournalEmily Hough
As medicine is always evolving, it is crucial for disaster medicine to apply technology, not as an exception, but as a necessity, Here is a glimpse of some ideas that might revolutionise disaster medicine in the future
Real Time Mask Detection Architecture for COVID PreventionIRJET Journal
The document presents a real-time mask detection architecture using deep learning to help prevent the spread of COVID-19. It describes collecting images of people with and without masks to train a convolutional neural network model. The trained model is then deployed using video streams from CCTV cameras to detect and identify in real-time if individuals are wearing a mask or not wearing a mask to help enforce social distancing and safety measures.
This document discusses a system for transferring physiological signal data from patients with chronic diseases living at home to a remote monitoring center. The system uses sensors to collect patients' vital signs and transmit the data via a local wireless network and the internet to a server interface at the monitoring center. The monitoring center interface allows physicians to view patients' physiological signals in real-time and access a database of patient information. The system is intended to provide remote monitoring, assistance and medical consultation to improve care for patients living at home with chronic conditions.
Optical sensing techniques for quality control of cathetersmbaltazar
This document discusses using optical spectroscopy techniques like reflectance spectroscopy for quality control testing of antimicrobial coatings on catheters. It describes how one catheter manufacturer is using an Ocean Insight spectrometer setup to measure coating concentration and uniformity onsite, providing a faster and less destructive alternative to traditional HPLC testing. The spectrometer measurements showed high correlation to HPLC results, demonstrating its effectiveness for ensuring catheter coating quality meets standards. Preventing device infections is important for patient safety and reducing healthcare costs.
IRJET- A Non-Invasive Health Monitoring System using Visible Light CommunicationIRJET Journal
This document discusses a non-invasive health monitoring system using visible light communication (VLC) or Li-Fi technology. It proposes using an LED and photodetector to continuously monitor blood glucose levels without drawing blood. The glucose levels would be transmitted via VLC to be viewed on a mobile phone. The system aims to reduce health monitoring costs. It provides background on Li-Fi and VLC technology. It then describes the proposed system in more detail, including using sensors, a microcontroller, and Li-Fi module to transmit sensor data via light to a receiver. This could help monitor patients continuously and notify of any abnormalities. Related work on using VLC for various health monitoring applications is also discussed, such as in hospitals where radio
Imran Sarwar Bajwa, [2010], "Virtual Telemedicine Using Natural Language Processing", International Journal of Information Technology and Web Engineering IJITWE 5(1):43-55, January 2010
Prediction analysis on the pre and post COVID outbreak assessment using machi...IJICTJOURNAL
In this time of a global urgency where people are losing lives each day in a large number, people are trying to develop ways/technology to solve the challenges of COVID-19. Machine learning (ML) and artificial intelligence (AI) tools have been employed previously as well to the times of pandemic where they have proven their worth by providing reliable results in varied fields this is why ML tools are being used extensively to fight this pandemic as well. This review describes the applications of ML in the post and pre COVID-19 conditions for contact tracing, vaccine development, prediction and diagnosis, risk management, and outbreak predictions to help the healthcare system to work efficiently. This review discusses the ongoing research on the pandemic virus where various ML models have been employed to a certain data set to produce outputs that can be used for risk or outbreak prediction of virus in the population, vaccine development, and contact tracing. Thus, the significance and the contribution of ML against COVID-19 are self-explanatory but what should not be compromised is the quality and accuracy based on which solutions/methods/policies adopted or produced from this analysis which will be implied in the real world to real people.
Insomnia analysis based on internet of things using electrocardiography and e...TELKOMNIKA JOURNAL
1. The document proposes a system to analyze insomnia remotely using electrocardiography and electromyography sensors connected via the Internet of Things. This allows for insomnia testing without patients needing to travel to healthcare centers.
2. The system collects ECG and EMG sensor data from patients and transmits it over the Internet to a server for analysis and visualization in real-time. Artificial neural networks are used to classify patient data and determine if they have insomnia.
3. Testing showed the system can accurately transmit patient data over the Internet, even at weak signal strengths. Error rates for data transmission were below 3% in all tests. This demonstrates the feasibility of the proposed remote insomnia analysis system using IoT-connected
Telemedicina i pacients crònics / Telemedicine in chronic patientsAntoni Parada
Telemedicina i pacients crònics. Conferència impartida pel Professor canadenc Denis Protti Health Information Science - Victoria University. Barcelona, 2 de febrer de 2012. Organitzada per la Fundació TicSalut i l’Agència d’Informació, Avaluació i Qualitat en Salut.
Knowledge, Attitudes, and Practice towards Mobile Phone Hygiene among Healthc...Premier Publishers
AIM: To analyze the level of knowledge, attitude and practice of health care workers regarding mobile phone hygiene in Riyadh Elm University. METHODS: A total of 153 respondents completed the questionnaire. A 26 variable questionnaire was employed to assess knowledge, attitude and practice regarding mobile phone hygiene amongst health care workers after obtaining consent and institutional permission. RESULTS: A response rate of 92.8% resulted in 153 questionnaires to be assessed. The study results showed that 62.5% of the respondents used mobile phones regularly, for professional or personal use and 82.4% of them considered mobile phones as a source of nosocomial infection. 90.2% of them opined that they would clean their mobile phones regularly following the COVID 19 (Coronavirus) infection. CONCLUSION: Easily available disinfectant materials must be employed in health care settings to disinfect mobile phone. Educational interventional programs must be advocated to ensure proper phone hygiene.
IOT BASED HEALTH MONITORING SYSTEM FOR COVID 19 PATIENTIRJET Journal
This document describes an Internet of Things (IoT)-based health monitoring system for COVID-19 patients. The system measures patients' pulse rate, body temperature, and oxygen saturation using sensors connected to an Arduino Uno microcontroller. These vital signs are displayed on an LCD screen and sent to a mobile app for remote monitoring. The system was tested on 5 human subjects and was able to quickly obtain and store health data. Compared to other systems, this IoT-based approach could be very useful for monitoring COVID-19 patients during the ongoing pandemic. It allows for remote patient monitoring which can help reduce costs and free up hospital space for more critical cases.
Comprehensive study: machine learning approaches for COVID-19 diagnosis IJECEIAES
Coronavirus disease 2019 (COVID-19) is caused a large number of death since has declared as an international pandemic in December 2019, and it is spreading all over the world (more than 200 countries). This situation puts the health organizations in an aberrant demand for urgent needs to develop significant early detection and monitoring smart solutions. Therefore, that new system or solution might be capable to identify COVID-19 quickly and accurately. Nowadays, the science of artificial intelligence (AI), and internet of things (IoT) techniques have an extensive range of applications, it can be initiated a possible solution for early detection and accurate decisions. We believe, combine both of the IoT revolution and machine learning (ML) methods are expected to reshape healthcare treatment strategies to provide smart (diagnosis, treatments, monitoring, and hospitals). This work aims to overview the recent solutions that have been used for early detection, and to provide the researchers a comprehensive summary that contribute to the pandemic control such AI, IoT, cloud, fog, algorithms, and all the dataset and their sources that recently published. In addition, all models, frameworks, monitoring systems, devices, and ideas (in four sections) have been sufficiently presented with all clarifications and justifications. Also, we propose a new vision for early detection based on IoT sensors data entry using 1 million patients-data to verify three proposed methods.
Plant Leaf Diseases Identification in Deep LearningCSEIJJournal
Crop diseases constitute a big threat to plant existence, but their rapid identification remains difficult in
many parts of the planet because of the shortage of the required infrastructure. In computer vision, plant
leaf detection made possible by deep learning has paved the way for smartphone-assisted disease
diagnosis. employing a public dataset of 4,306 images of diseased and healthy plant leaves collected under
controlled conditions, we train a deep convolutional neural network to spot one crop species and
4 diseases (or absence thereof). The trained model achieves an accuracy of 97.35% on a held-out test set,
demonstrating the feasibility of this approach. Overall, the approach of coaching deep learning models on
increasingly large and publicly available image datasets presents a transparent path toward smartphone-
assisted crop disease diagnosis on a large global scale. After the disease is successfully predicted with a
decent confidence level, the corresponding remedy for the disease present is displayed that may be taken as
a cure.
In the age of today, technology pays attention to how it can be implemented in keeping people alive. It is clear that technology is offering the healthcare industry a much needed upgrade to mobile apps from medical translation resources that help patients lead healthier lives. One of the dizzying innovations that could change the healthcare industry is the wireless body area network WBAN .WBAN derives from the wireless sensor network WSN that deploys sensors over the human body. Wireless Body Area Network WBAN is a wireless networking system based on radio frequency RF that interconnects tiny nodes with sensor or actuator capabilities in, on, or around a human body. WBAN also links large and local area networks. As compared to WSN, WBAN has its own characteristics. Preeti Sondhi | Javaid Ahmad Malik "A Review of Wireless Body Area Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-2 , February 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38384.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/38384/a-review-of-wireless-body-area-network/preeti-sondhi
Telemedicine refers to the use of telecommunication technologies to provide medical information and services over distance. It allows healthcare providers to evaluate, diagnose and treat patients remotely using technologies like teleconferencing and digital imaging. Telemedicine has grown rapidly in use as it helps increase access to care, especially for rural and underserved areas. It also aims to reduce healthcare costs by minimizing the need for travel while improving health outcomes. Some key applications of telemedicine include tele-consultation, tele-monitoring, teleradiology and tele-education. However, factors like cost, training, and privacy & security concerns pose challenges to its widespread adoption.
Similar to European Journal Epractice Volume 8.7 (20)
ePractice workshop on Open Source Software, 7 April 2011 - Matteo MelideoePractice.eu
The document discusses Qualipso Competence Centres, which aim to boost innovation and growth by fostering Free/Libre Open Source Software. The centres will form a federated network of organizations from industry, academia, and the public sector. They will provide expertise and services related to FLOSS, such as legal consultancy, interoperability testing, quality measurement, and business model advice. The centres will operate according to a shared framework defined in the Qualipso Network Agreement.
ePractice workshop on Open Source Software, 7 April 2011 - Daniel ColettiePractice.eu
The document discusses the growing success of open source software in the Argentinian federal government. It notes that the 2001 economic crisis proved that open source software is reliable, cheaper, and can help avoid costly software upgrades. The government is increasingly adopting open source strategies, either following Brazil's model of prioritizing domestic open source software or simply using open source solutions while remaining neutral. Several agencies such as the national tax administration, highway administration, and social security agency have implemented open source software successfully.
ePractice workshop on Open Source Software, 7 April 2011 - Flavia MarzanoePractice.eu
The document discusses key issues for cloud computing including data protection, interoperability, standardization, accessibility, and openness. The European Commissioner Neelie Kroes stated these were core objectives of her digital agenda policies. Additionally, the document calls for portability of data, code and applications between cloud providers to avoid vendor lock-in, as well as adoption of existing standards and open interfaces. It provides principles of an open cloud from an open cloud manifesto focusing on addressing challenges through collaboration and standards while promoting innovation.
ePractice workshop on Open Source Software, 7 April 2011 - Christina Gallar...ePractice.eu
The document summarizes the Osepa project, which aims to create synergies around open source software (OSS) adoption among public administrations in Europe. The project brings together partners from various countries and experience levels to share perspectives on technical, policy and other barriers to OSS adoption. Expected results include surveys of OSS usage, procurement guidelines, conferences, and recommendations to support a European strategy for public sector use of open source.
ePractice workshop on Open Source Software, 7 April 2011 - Thomas BiskupePractice.eu
The OpenSAGA project aims to provide a development platform for e-government applications that are compliant with the SAGA standard. The technical approach uses an executable web application model, graphical modeling, and the Eclipse IDE. The communal approach involves public sector partners, scientific councils, sponsors, and integration partners. After one year, there was a lack of knowledge about SAGA, lack of community and trust in open source for the public sector. Missing links include open source strategy, marketing, and lobbying in the public sector. Lessons learned are that a commercially viable open source approach exists with tangible benefits for the public sector.
ePractice workshop on Open Source Software, 7 April 2011 - Mikael Torp & Oll...ePractice.eu
A three year cross border project between universities in Sweden and Finland funded the development of a digital communication system between parents and daycares called Parents' Meeting. The system allows for 24/7 communication about daily activities and plans. It has been implemented in over 300 daycares and schools in Sweden and Finland. The project also developed two e-systems for the municipality of Korsholm using open source software to reduce costs compared to expensive proprietary systems. Going forward, the project aims to commercialize Parents' Meeting, strengthen the open source community around it, and help other municipalities implement similar systems.
ePractice workshop on Open Source Software, 7 April 2011 - Davide Dalle Carbo...ePractice.eu
The document discusses open source software and its role in cross-border environments. It describes a tool called Spago4Q that measures and monitors quality in ICT products, processes, and services. Spago4Q uses open standards and models to define service level agreements and key performance indicators. It provides dashboards and reports to ensure transparency and help public administrations purchase quality services.
ePractice workshop on Open Source Software, 7 April 2011 - Philippe LaurentePractice.eu
Compatibility of free and open source software (FLOSS) licenses refers to whether code distributed under different licenses can be combined. Strict compatibility is one-way, as GPL code cannot be added to BSD code, though BSD code can be added to GPL. Copyleft licenses like GPL have predominant effect, making other licenses incompatible. Newer licenses like GPLv3 and EUPL include clauses to improve compatibility, such as allowing additional permissions or defining compatible licenses. Compatibility issues must be considered before and during development to allow code reuse and acceptability.
ePractice workshop on Open Source Software, 7 April 2011- Patrice-Emmanuel Sc...ePractice.eu
The EUPL is an open source license approved by the European Commission to promote sharing of software between governments in Europe. It provides a common legal framework for licensing software in all EU languages. Several EU countries have begun adopting policies that recommend or require the use of the EUPL for government-developed software. While adoption is still uneven, the EUPL is establishing itself as an important part of the legal infrastructure supporting open source and sharing of software in the public sector in Europe.
ePractice workshop on Open Source Software, 7 April 2011-Panagiotis Rentzepop...ePractice.eu
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Eyepea implemented an open source VoIP solution for EURid using Asterisk. EURid is the European registry for .eu domain names and needed an enterprise telephony system to support its distributed call centers for registrars across Europe. The new system provides high availability, intranet integration for call center agents, and SIP trunking between data centers. After six months of operation, the solution has had 100% uptime and a high level of satisfaction among customers, agents, and management.
ePractice workshop on Open Source Software, 7 April 2011- Jacques GripekovenePractice.eu
Eyepea implemented an open source VoIP solution for EURid using Asterisk. EURid is the European registry for .eu domain names and needed an enterprise telephony system to support its distributed call centers for registrars across Europe. The new system provides high availability, intranet integration for call center agents, and SIP trunking between data centers. After six months of operation, the solution has achieved 100% uptime and a high level of satisfaction among customers, agents, and management.
ePractice: eProcurement Workshop 25 May 2011 - Van SteelandtePractice.eu
The document summarizes Flanders' action plan to mandate e-submission for public contracts between 2010 and 2011. Key points include:
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ePractice: eProcurement Workshop 25 May 2011 - Dusan SoltesePractice.eu
The document discusses the current state of e-procurement in the EU. It outlines the main benefits expected from e-procurement such as increased transparency, wider reach, and support for SMEs. However, implementation at the national level has been slow and inconsistent. The document calls for stronger EU directives and legislative support to speed up adoption of e-procurement and realize its cost-saving and competitiveness benefits across the EU.
ePractice: eProcurement Workshop 25 May 2011 - Dimitrios Perperidis, EUROPEAN...ePractice.eu
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ePractice: eProcurement Workshop 25 May 2011 - Zoran JanevskiePractice.eu
The document discusses a study on user satisfaction of e-procurement systems in the Former Yugoslav Republic of Macedonia. It finds that while over 75% of registered economic operators report time savings from automated notifications, only around half have actually submitted bids through the system. Users report satisfaction with increased transparency and speed, but less than half find the system easy to use. Most users call for upgrades to stability, accessibility, and training.
ePractice: eProcurement Workshop 25 May 2011 - Lars-Johan FroylandePractice.eu
PEPPOL is an EU-funded project that aims to enable cross-border eProcurement across Europe. It establishes a common infrastructure and set of standards to allow any supplier in the EU to communicate electronically with any European contracting authority for procurement processes. The project is coordinated by the Norwegian Agency for Public Management and involves 18 beneficiaries from 12 countries. It has connected existing national eProcurement systems through access points to create an interoperable network for exchanging documents like eCatalogues, eOrders, and eInvoices across borders.
ePractice: eProcurement Workshop 25 May 2011 - João Frade-Rodrigues ePractice.eu
The European Commission has been switching to e-Procurement since 2007. The presentation discusses the e-PRIOR solution, which provides an e-Procurement platform for the European Commission. e-PRIOR allows for electronic ordering, invoicing, catalogues and more. It provides benefits like faster processing, increased transparency, and significant cost reductions compared to paper processes. The e-PRIOR solution is fully operational and ready for other public administrations to implement.
ePractice: eProcurement Workshop 25 May 2011 - Robert DellerePractice.eu
This document discusses the role of eProcurement during times of economic crisis. It identifies two key political drivers for eProcurement: the need for interoperability between systems and an expectation of standard technological operations. Public need drives performance gains, while the economy drives procurement activities. Stewardship by the government aims to support both public and private sectors. The focus of this stewardship is continued support for the public sector to create demand for interoperability and open procurement processes to promote business efficiency.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
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Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
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Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
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Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
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2. Understanding Edge (IoT)
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
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Diese Themen werden behandelt
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The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
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Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
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1. Acceptance of Virus Radar
Abstract David. S.
Stodolsky
Communicable diseases are a perplexing problem in the
operation of healthcare facilities. We outline the advantages Institute for Social
Informatics
of an automated warning system that inhibits the spread of
infectious agents. The User Device is based upon Wireless Local
Area Network equipped mobile telephones. Acceptability of the
virus radar User Device and the associated Contagion Vigilance C. N. Zaharia
Service was investigated. A survey was distributed describing
Stefan S. Nicolau
the Device and Service, and the functions of an operational Institute of Virology
system, including warnings of contagion risks and privacy
protection methods. Fifty-nine persons, both employees and
patients, indicated their willingness to pay and their status. The
Keywords
most representative individual was willing to pay €50 a month
for the Service and €150 for the Device, out of a monthly salary Preventative health services,
patient data privacy, real-time
of €300. Many persons with lower education/income responded systems, distributed data bases,
inconsistently, indicating poor understanding. These persons epidemiology
tended to respond with lower values, which, however, still
indicated a substantial willingness to pay. Thus, we conclude
The objective of this study was
that acceptability will be high, particularly among those with
a preliminary evaluation of
higher education/income.
acceptability of the Vidar virus
radar User Device and associated
Contagion Vigilance Service.
European Journal of ePractice · www.epracticejournal.eu
Nº 8 · December 2009 · ISSN: 1988-625X
2. 1. Introduction
Healthcare Associated Infections (HAIs) are a growing global health issue. Certain resistant organisms,
initially characterized in the care environment, such as Methicillin-Resistant Staphylococcus Aureus
(MRSA), have become an increasing problem in the community as well. MRSA is now considered as
an accelerating pandemica. While healthcare environments have become breeding grounds for such
resistant organisms (The proportion of Staphylococcus Aureus that is MRSA in American intensive care
units increased from 2% in 1974 to 64% in 2004b), more effective translation of basic discoveries into
clinical application could not only prevent this, but could also make these environments the first
line of defense against these emerging threats. However, this requires resolving knowledge gaps in
implementation. Petersc has pointed out that one of the unresolved questions is, “Why can’t we
control Hospital Associated - MRSA despite knowing how to do it?”
The proposed Vidar virus radar User Device is a cellular and Wi-Fi (Wireless Local Area Network)
mobile telephone with supplementary functions. It periodically notifies a location database of its
position. If its position has been marked as adjacent to a contaminated area, the user receives an
alert on the phone. This permits the user to take evasive or protective actions, thereby reducing
the risk of infection. Security features of the Contagion Vigilance Service make tracking of users
impossible. The Vidar virus radar User Device and the associated Contagion Vigilance Service is a
more advanced version of a proposed Contagion Management Systemd, since it includes location-
specific tracking. While this permits localization of infectious agents transmitted independently by
direct person-to-person contact, it also increases privacy concerns and complicates needed security
technologies. (The term “Vidar” was selected as the short name for our proposed Project, since it
was a convenient contraction of “virus radar” and it was also the name of an old Nordic god.)
There is organized resistance to radio frequency identification (RFID) tracking technology among
the general public. Computer users are known to limit their online purchasing activity considerably
due to security and privacy concerns. On the other hand, both RFID/Wi-Fi tracking and collection of
sensitive data are routine activities in some hospitals. Given the unique combination of these two
technologies in the Vidar Project, it was important to estimate acceptability of the procedures and
the effectiveness of our educational materials.
The objective of this study was a preliminary evaluation of acceptability of the Vidar virus radar User
Device and associated Contagion Vigilance Servicee. Subsidiary objectives were to test educational
materials and gather marketing information. By estimating willingness to pay for the Device and the
Service, we establish the economic feasibility of virus radar for a hospital, independent of the saving
generated by preventative actions and increased awareness of infectious disease in the hospital
environment. Our null hypothesis was that hospital users and personnel would not find the Vidar
Project acceptable. This would be indicated by a lack of willingness to pay for the User Device and
the associated Contagion Vigilance Service.
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3. 2. Method
2.1 Materials
An information sheet and response slip were prepared. The English version is presented in Appendix
A.
2.2 Procedures
Ten survey information sheets and twenty response slips were distributed by a staff person on each of
the three floors of Pavilion B2 at the Infectious Diseases Hospital, which is adjacent to the Stefan S.
Nicolau Institute of Virology in Bucharest, Romania. The questionnaires were delivered between 9 AM
and 12 AM and retrieved by the same person, at the same hours (9 AM to 12 AM), 24 hours later. This
availability sample was taken during the week of 9 April, 2007. Each subject completed a response
slip with a blue pen. All response slips were returned completed, except for one which was lost.
2.3 Results
Distribution of Respondents
Responses were highly skewed, therefore the data was log transformed to achieve a more normal
distribution. This also has the advantage of transforming the data into a scale more closely
corresponding to perceptual differences. That is, the distance between €30 and €40 is equal to the
distance between €300 and €400 after this transformation. With a base 10 log transformation, the
value 1 equals €10 (10 = 101), the value 2 equals €100 (100 = 102), etc.
We then performed an outlier analysis to trim extreme valuesf. A jackknife distance analysis
revealed four persons who had responded 1€ to both questions. They were removed from the data
set. Three missing values result from transforming data values of zero, which are undefined after a
log transformation. Thus, we retained 52 records of transformed values. Responses remained from
several employee categories [graduate nurse (20), doctor (13), nurse (7), cleaner (4), other (5)] and
from patients (10).
Finally, we performed a nonparametric bivariate density plot (Figure , Appendix C) to identify
clusters within the payment data. This plot shows the highest density at €150 per Phone (102.176)
(range €100 to €200) and €50 per month (101.699) for Service (Cluster 12). A less well defined Cluster
(9) appears around €50 per Phone (101.699) (range €50 to €250) and €10 per month (101) for Service.
Another poorly defined Cluster (8) appears with the same value for Service, but a lower value for
the Phone, €20 (101.301) (range €10 to 30€). Between one-third to two-thirds of the data points are
visible in the graphs, because many responses had identical values thus overlapping others. A mesh
plot (Figure ) gives another view of the data, clearly showing the peak at the higher values. The
Modal Clustering Table (Appendix B) shows that 11 persons are included in the high-value Cluster
(12), while only 9 appear in each of the others (Clusters 8 9). If we are to choose a single value to
exemplify our results, it would be in this higher value Cluster, since it is the largest Cluster and also
the best defined one. Thus, the Graduate Nurse who appears in the center of this Cluster is our most
representative individual.
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4. Figure 1. Nonparametric Bivariate Density Plot Showing Incomes and Cluster Centers
Figure 2. Mesh Plot of Densities
User Acceptance
User Acceptance was estimated based upon willingness to pay for the Vidar User Device and the
Contagion Vigilance Service. A one-way analysis of variance (ANOVA) was performed upon the
responses to the payment amount questions. The income data was treated as ordinal, minimizing
any risk that imprecision in income estimates would effect the results (If salary levels are in the
correct order, our analysis is unaffected.) Finally, power analyses to identify sample sizes needed in
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5. future studies were performed.
The mean (numerical average) response to the question “How much would you pay for a new Phone
performing these functions?” was a bit over €60 (101.8) (Figure 3, Appendix D). The difference in
payment willingness among groups was highly significant [F (3, 41) = 5.28, p .0038] (Appendix D).
The mean comparisons show that the two high-income groups (€600 [doctor] and €300 [graduate
nurse] and the two low-income groups were indistinguishable (Appendix D). The lack of a difference
between the highest income groups, appears to reflect a leveling off of willingness to pay with higher
income. Thus, we can assume a perceived value of the Phone of about €91 (101.96), regardless of
income, once income passes a threshold between €200 and €300. A possible confounding variable was
pre-existing ownership of a mobile phone.
Figure 3. One-way Analysis of Log iPhone By Income
On the average, respondents were willing to pay €20 (101.3) per month for the Virus Radar Service
(Figure 4, Appendix E). The differences among the groups are not significant [F (3, 41) = 1.5099, p
.2275] (Appendix E). However, the data again appears to reflect a leveling off of willingness to
pay with higher income. Thus, we can assume that the perceived value of the Service is about €30
(101.39), regardless of income level, once it passes a threshold between €200 and €300. The power
analysis showed that we need at minimum 76 respondents to achieve significance at the .05 level
(Appendix E).
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6. Figure 4. One-way Analysis of Log Service By Income
If we compare willingness to pay for the Service as compared to willingness to pay for the Phone,
we can see (straight line in Figure 1) that these are significantly correlated (Appendix C) [maximum
R2 = 0.54, p .003]. This supports our assertion of a similar pattern in the data for the two types of
payment willingness. Thus, our estimates of a rising level of willingness to pay with income up to a
threshold between €200 and €300 is supported, as is our estimate of constant perceived value above
that threshold.
3. Discussion
This study investigated acceptance of both the virus radar User Device and the Contagion Vigilance
Service by surveying willingness to pay for the Device and willingness to pay for the Service. While
participants answered two willingness-to-pay questions, their acceptance was assessed within the
context of an integrated System. The main finding was that potential users were willing to make
substantial payments to achieve the protection the System provided.
There are at least two groups in terms of willingness to pay revealed by the nonparametric cluster
analysis. The higher paying Cluster is well defined and tends to agree on both the value of the
Service (€50) and the value of the Phone (€150). The other Cluster chooses a much lower value
for Service (€10) and doesn’t agree on the value of the Phone. This disagreement on the value of
the Phone could indicate that individuals in this lower paying Cluster didn’t understand the Survey
Information. Therefore, taking an overall sample average could result in misleading values. Thus, the
mean response of €60 to the question, “How much would you pay for a new phone performing these
functions?” could be too low. The fact that the higher education/income groups choose the value
€91, also throws suspicion on the lower value. The overall mean value for Service, €20 may also be
too low, since the higher education/income groups choose €30. If we must choose one representative
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7. individual from the data set, it is the Graduate Nurse who was willing to pay €50 a month for the
Service and €150 for the Phone, out of a monthly salary of only €300. Our best estimates, therefore,
place the perceived value of the Phone between €91 and €150, and the perceived value of the
monthly Service between €30 and €50. In terms of our application, even the lower payment values
indicate a substantial willingness to pay for both the Phone and the monthly Service, considering the
monthly income levels in the sample (€150 to €600).
If either the User Device or Contagion Vigilance Service was not acceptable, this would have been
indicated by participants not being willing to pay for either the Device or the Service. We also asked
them to indicate their patient status or personnel category, thereby permitting us to evaluate how
educational background and estimated income would mediate the responses.
We attempted to counter ethical concerns about the tracking technology by explaining the
anonymity of location data and alerts, and by offering compensation for possible losses associated
with a potential breach of confidentiality. Similarly, we attempted to allay concerns about privacy by
ensuring participants that their data remains under their control at all times and can be completely
withdrawn from the experiment upon their demand. We list benefits of the Vidar technology and
advantages of Internet Protocol telephony within the hospital environment, assuming a mature
system. By placing the technology in an operational setting and presenting both risks and benefits,
we hoped to achieve a realistic assessment of the Vidar virus radar acceptability and usability in
the hospital environment. This pilot study was a test of our procedures and also permitted us to
determine the sample size needed to obtain definitive results.
There are two possible explanations for the split between the main willingness-to-pay groups revealed
by the analysis. One is the income level and the other is the education level. These two variables
are confounded in our data, since income was estimated from employee category. Thus, it is difficult
with this data set to distinguish between a failure to understand the questionnaire, due to a lack
of education, and the effect of income. However, when one examines the differences in how well
Clusters 12 and 9 were defined in the modal analysis (a factor of 2 versus a factor of 5 in range on the
Phone values), the educational level explanation appears to be favored. This is because the lower
value Cluster (9) was so divergent in terms of willingness to pay for the Phone. There is a trend in
the data indicating that those with lower incomes tended to concentrate in the low value Cluster (9)
as opposed to the high value Cluster ().
Since the two monetary variables were significantly correlated, we would expect to see better
defined low value Clusters if there was adequate understanding. This correlation also supports the
common trend in the data concerning a rise in willingness to pay with increasing education/income
up to a threshold level between €200 and €300 in monthly income.
State of the art
Real-time location systems (RTLSs) are used in hospitals now in order to reduce the amount of
staff time spent locating movable equipment and to reduce equipment inventories, thereby yielding
substantial savings. Movable equipment, such as wheel chairs, is often monitored with alarm systems,
which have been effective in reducing equipment losses. The “[r]esearch firm IDTechEx of Cambridge
has released a report on the real-time location systems (RTLS) market and its growth prospects over
the next decade. They estimate that the RTLS market will explode over the next ten years, growing
from an ‘esoteric niche market’ to one worth $2.71 billion in 2016”g. Thus, we expect an increasing
number of healthcare facilities to have this technology installed. Our infection control strategy can
then be employed with minimal additional expense.
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8. Reminders and warnings can be automatically triggered, if a violation of a management strategy
enforcing contact precautions is detected. For example, if a certain room that has been set aside
for a patient known to harbor a resistant organism is approached by a user not authorized to enter
that room, an alert can be issued. Failure of the person to respond to the alert could lead to a
warning sounding at a nursing station, so that the situation could be immediately investigated.
In this example, the surveillance system yields a second layer of protection against risky contact.
This technology is now used to track patients who may become confused and leave their ward
inappropriately. However, Torchiah, in a report from the Yankee Group, stated, “Individual privacy
concerns will stall human asset tracking in European markets and union-represented industries.”
There is no state of the art in automated identification and management of contagious disease.
However, there is prior work in syndrome identification. Typically, the first sign of an epidemiological
outbreak, due to a novel agent, is a communicable syndrome. Current syndrome surveillance
methods are complex manual procedures requiring highly trained persons. Delays in data collection
and agent identification seriously impede the ability to control infectious agentsi. The first steps
toward automated syndrome identification have been taken, but they have been limited by manual
data-collection methodsj.
Advances expected with an automated system
The failure of current HAI control methods is indicative of the unsatisfactory tradeoffs available
in practice. For example, one approach to preventing the spread of resistant organisms is to test
every new patient and then take contact precautions which minimize the chance of a resistant
organism spreading to other patients. In many situations, however, this approach is not economically
feasible. Similarly, while the hygienic procedures for controlling HAIs are well known, it has proven
very difficult to maintain compliance, due to the constant educational and motivational campaigns
that appear to be necessary. The introduction of an enhanced location-based services management
strategy allows the alteration of the cost-benefit tradeoffs, while improving the ability to identify
new agents.
Accumulated data from System operation allows for the identification of specific points of failure in
current techniques and technologies. It also permits the comparison of the effectiveness of different
strategies for the application of such techniques and technologies, and the optimization of such
strategies. While traditional evaluation methods are typically applied to an entire ward or hospital,
and have trials that may run over weeks, months, or even years, the proposed method allows greater
source specificity and much better time resolution, permitting the very rapid identification and
quantification of risk-related events.
Since the technology operates in real-time and can identify individual sources, patient self-
management becomes possible. For example, a patient with reduced immune response could choose
to avoid an area being used by other patients under treatment for infection. Similarly, if such a
patient was discovered to have had such contact, a prophylactic dose of an antibiotic might be
appropriate and, in fact, could be an optimal strategy for drug delivery. Similarly, this type of
information facilitates dynamic risk-based surveillance and thereby optimal targeting of laboratory
tests.
While discrete contact precautions are typically reserved for specific agents that can justify their
added management complexity and effort, the System described here permits a graded response
to the range of agents typically encountered. Thus, for example, the alerting system could warn of
the type and degree of risk at a given location, thereby permitting users to respond appropriately.
For example, if it was known that a specific patient was infected with an agent that could colonize
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9. a healthy person, a user might decide to use gloves to reduce the risk of contacting the infective
agent. This graded range of risks would also maintain an increased awareness of the problem of
healthcare associated infections and thereby ensure greater compliance levels. It could further
make more effective use of facilities possible, by taking advantage of preexisting isolation options.
For example, a ward could be structured so that patients known to be infected with similar agents
could be placed together, reducing the risk of other patients becoming infected. Where several
nurses shared responsibility for such a ward, contact with patients could be organized to minimize
the inadvertent spread of an agent, by ensuring that different sets of patients were served by
different nurses. Thus, the more sophisticated use of existing facilities could lead to greater patient
safety with little or no additional expense.
In summary, the objective of the Vidar Project was to demonstrate the feasibility of a contagion
management system based upon networked mobile devices. Information retrieval facilitates
syndrome identification and the issuing of alerts to those at risk in real time. The focus is on tracking
transmission within the hospital and notifying at-risk persons once an agent has been localized.
State of the art is also advanced in the collection of sensitive personal data and security for mobile
devices.
Analytic approach
Within the hospital environment, infectious agents are expected to be well characterized and carriers
easily identifiable. When an individual’s laboratory test is positive, we trace the likely source and
forward transmission paths in the location database. Characteristics of different transmissible agents,
and levels of immuno-competence are integrated into the analysis, as are sympoms presented by
suspected new carriers. An objective is to adjust the sensitivity of the tracing algorithms so that
carriers can be rapidly isolated, without excessive clinical laboratory tests.
Syndrome identification is supplementary to tracing of identified agents. In this case, data is limited
to patient symptoms, immuno-competence, and other personal factors. Automated syndrome
surveillance can be evaluated by its ability to identify carriers prior to the appearance of symptoms
and by overall reduction of in transmission of infectious agents.
Specific Impact
The Project would employ advanced information and computer technologies to assess risks of
infection and improve patient safety, without compromising user privacy. It would facilitate
identification of common patterns in safety-relevant events and trigger alerts designed to stop
the spread of infectious agents. This alerting and management support System incorporates new
tools for prediction, detection, and monitoring of infection risks directly impacting patient safety.
The solution depends on innovative data mining and integration with the present electronic health
record system. It provides decision support to both users and the infection control officer, and allows
prediction of adverse events.
The privacy-protection advances remove a major barrier to the deployment of real-time location
systems in the multi-billion dollar European market for RTLS technologyk. It is expected that the
management of contagious disease will be extended from the healthcare facility into the community,
as our strategy proves its effectiveness. This is essential in the long run, since, for example, Community-
Associated MRSA is becoming a widespread probleml and more effective hospital management of
these agents requires prior knowledge of patients’ exposure.
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10. 4. Conclusion
The main finding was that potential users were willing to make substantial payments to gain the
protection that the proposed virus radar System provided. The most representative individual was
willing to pay €50 a month for the Service and €150 for the Device, out of a monthly salary of €300.
Many persons with lower education/income responded inconsistently, indicating poor understanding.
These persons tended to respond with lower values, which, however, still indicated a substantial
willingness to pay. Thus, we conclude that acceptability will be high, particularly among those with
higher education/income. The level of support indicated could justify a System of this type, even if
the installation and operational expenses had to be supported by user payments alone.
Acknowledgments
We would like to thank Andrei Popovici, MS (Stefan S. Nicolau Institute of Virology, Bucharest,
Romania) for assistance in execution of this study and Christian CouppŽ, RPT, MSc, (Institute of
Sports Medicine, Copenhagen University, Denmark) for assistance in revising this document.
(Endnotes)
Peters, G. (2008, April 20). Epidemiology and resistance mechanisms of Methicillin-Resistant
Staphylococcus Aureus. MRSA: the changing epidemiology of the epidemic, Pfizer Integrated
Symposium. Eighteenth European Society of Clinical Microbiology and Infectious Diseases Integrated
Symposia. 19-22 April 2008, Barcelona, Spain. URL: http://www.sessions2view.com/eccmid08c3_
library
Klevens, R. M., Edwards, J.R., Tenover, F. C., McDonald, L. C., Horan, T., Gaynes, R.; National
Nosocomial Infections Surveillance System. (2006, Feb 1). Changes in the epidemiology of methicillin-
resistant Staphylococcus aureus in intensive care units in US hospitals, 1992-2003. Clin Infect Dis.
42(3):389-91. Epub 2005 Dec 19.
Peters, G. Idem.
Stodolsky, D. S. (1997). Automation of Contagion Vigilance. Methods of Information in Medicine,
36(3), 220-232.
Linkφping University, Institute for Social Informatics, and Stefan S. Nicolau Institute of
Virology. (2007, 8 May). Virus Radar. Unpublished research proposal. Abstract, etc. available at
URL: http://virusradar.org.
SAS Institute. (2000). JMP (R) Version 4 (Release 4.0.4). Cary, NC.
Rfidupdate (2006). Report: RTLS Market Worth $2.7b in 2016. URL accessed 8 Nov 2008:
http://www.rfidupdate.com/articles/index.php?id=1065
Torchia, M. (2005). RTLS Market To Exceed $1.6 Billion by 2010, URL accessed 8 Nov 2008:
http://www.rfidupdate.com/articles/index.php?id=949
Smithson, A. E. Levy, L.-A. (2000, October). Ataxia: The Chemical and Biological Terrorism Threat
and the US Response. Washington, DC: Henry Stimson Center. URL: http://www.stimson.org/pubs/
cwc/atxchapter7.pdf
Brossette, S. E., et al. (2002). A data mining system for infection control surveillance. Yearbook of
Medical Informatics (pp. 332-9). Stuttgart, DE: Schattauer Publ. Co.
European Journal of ePractice · www.epracticejournal.eu
Nº 8 · December 2009 · ISSN: 1988-625X 10
11. Fricker, R.D., Jr., Hegler, B.L., Dunfee, D.A. (2008). Assessing the Performance of the Early Aberration
Reporting System (EARS) Syndromic Surveillance Algorithms, Statistics in Medicine, 27, pp. 3407-
3429.
Torchia, M. Idem.
Vandenesch F, Etienne J. (2004). How to prevent transmission of MRSA in the open community?. Euro
Surveill. 9(11):pii=483. URL: http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=483
Authors
Griet Verhenneman
David. S. Stodolsky
Institute for Social Informatics
david.stodolsky@socialinformatics.org
http://www.epractice.eu/en/people/3120
C. N. Zaharia
Stefan S. Nicolau Institute of Virology
corneliu.zaharia@virology.ro
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