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Health Informatics: An International Journal (HIIJ) Volume 11 http://airccse.org/journal/hiij/index.html Authors are invited to submit papers for this journal through E-mail: hiij@aircconline.com online submission system : http://coneco2009.com/submissions/imagination/home.html
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Health Informatics - An International Journal (HIIJ)
Health Informatics: An International Journal is a Quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics: An International Journal
Healthcare Informatics: An International Journal is a quarterly peer-reviewed journal that publishes articles on digital health records, knowledge engineering in healthcare, e-health information, and information management in healthcare. The journal focuses on topics such as electronic health records, knowledge engineering, e-health information, expert systems in biomedicine, artificial intelligence in medicine, and health informatics. Authors are invited to submit original papers by July 25, 2020 for consideration, with notification of acceptance by August 25, 2020.
Health Informatics - An International Journal (HIIJ)
Health Informatics: An International Journal is a Quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Recommended
Health Informatics - An International Journal (HIIJ)
Health Informatics: An International Journal is a Quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics: An International Journal
Healthcare Informatics: An International Journal is a quarterly peer-reviewed journal that publishes articles on digital health records, knowledge engineering in healthcare, e-health information, and information management in healthcare. The journal focuses on topics such as electronic health records, knowledge engineering, e-health information, expert systems in biomedicine, artificial intelligence in medicine, and health informatics. Authors are invited to submit original papers by July 25, 2020 for consideration, with notification of acceptance by August 25, 2020.
Health Informatics - An International Journal (HIIJ)
Health Informatics: An International Journal is a Quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
International conference on Health Informatics (HEIN 2023)
The key goal of International conference on Health Informatics (HEIN 2023) is to arrange
opportunity for the participants to share their knowledge, innovations , and recent advances in
Artificial intelligence in healthcare, Telemedicine, Evolution of remote care, Health care
privacy and security in 2022, new ideas and experience in person to join from different parts
on the world. Health information system commonly known as health informatics &acts as a
hybrid of information technology and healthcare. It includes gathering information,
researching, analyzing the present systems, and implementing different solutions to address
any and all problems relevant to the healthcare industry. We hope HEIN 2023 outcome will
lead to substantial contributions to the knowledge base which is up-to-date in scientific fields.
Call for Research Articles -5th International Conference on Big Data & Health...
****Registration is currently open ****
5th International Conference on Big Data & Health Informatics (BDHI 2024)
February 17 ~ 18, 2024, Dubai, UAE
Webpage URL : https://aisca2024.org/bdhi/index
Submission URL : https://aisca2024.org/submission/index.php
Submission Deadline : January 20 ,2024
Contact Us
Here's where you can reach us: bdhi@aisca2024.org or bdhiconf@yahoo.com
#data #dataanalysis #dataanalytics #datascience #datamining #internetofthings #datavisualization #database #socialresearch #healthanalytics #informatics #health #mentalhealth #healthcareanalytics #biomedicalengineering #herbalmedicine #science #itprofessionals #universityofessex #healthylifestyle #bigdata #datavisualization #machinelearning #python #analytics #dataanalysis #programming #coding #deeplearning #statistics #technology #artificialintelligence
Augmented Personalized Health: using AI techniques on semantically integrated...
Keynote @ 2018 AAAI Joint Workshop on Health Intelligence (W3PHIAI 2018), 2 February 2018, New Orleans, LA [Video: https://youtu.be/GujvoWRa0O8]
Related article: https://ieeexplore.ieee.org/document/8355891/
Abstract
Healthcare as we know it is in the process of going through a massive change - from episodic to continuous, from disease-focused to wellness and quality of life focused, from clinic centric to anywhere a patient is, from clinician controlled to patient empowered, and from being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data-driven. While the ability to create and capture data is already here, the upcoming innovations will be in converting this big data into smart data through contextual and personalized processing such that patients and clinicians can make better decisions and take timely actions for augmented personalized health. In this talk, we will discuss how use of AI techniques on semantically integrated patient-generated health data (PGHD), environmental data, clinical data, and public social data is exploited to achieve a range of augmented health management strategies that include self-monitoring, self-appraisal, self-management, intervention, and Disease Progression Tracking and Prediction. We will review examples and outcomes from a number of applications, some involving patient evaluations, including asthma in children, bariatric surgery/obesity, mental health/depression, that are part of the Kno.e.sis kHealth personalized digital health initiative.
Background: Background: http://bit.ly/k-APH, http://bit.ly/kAsthma, http://j.mp/PARCtalk
Health Informatics- Module 1-Chapter 1.pptx
Overview of Health Informatics: survey of fundamentals of health information technology, Identify the forces behind health informatics, educational and career opportunities in health informatics.
What’s next in digital healthcare?
Digital health refers broadly to the intersection of technology and healthcare, incorporating concepts like mobile health apps, electronic health records, wearable devices, and telehealth. It plays an increasingly important role in healthcare by improving quality, access, and efficiency while reducing costs. Examples of digital health technologies include the internet of medical things using sensors and devices to collect health data, and mobile apps to improve communication between patients and doctors. Digital tools give providers more data to enhance care and empower consumers to better manage their own health.
The Rise of AI: Technology Trends in Healthcare
Nobody can predict the future, however by following trends, we can navigate the direction in which we’re heading. Trends are dictated by a wide range of economic and political factors, and often they are propelled by innovations. The newest technological trends owe themselves to necessary innovations in the healthcare industry, spurred by the Covid-19 pandemic.
With the Covid-19 pandemic revealing the gaps and inefficiencies of healthcare systems around the world, the newest developments in healthcare technologies are suddenly getting a lot more attention. This is useful, because the executives who are often hesitant in changing long-standing healthcare practices must revaluate and evolve in order to provide the most effective treatment plans for their patients.
Digital Health An Overview
This document provides an overview of digital health, including:
- Digital health uses technologies like mobile health apps, telemedicine, big data, and wearable devices to improve healthcare access, reduce costs, and improve quality of care.
- Key benefits of digital health include better healthcare through improved access and quality, more personalized care tailored to individuals, and empowering patients to manage their own health.
- Major applications of digital health technologies are remote patient monitoring, telemedicine, use of electronic health records, personalized medicine, and wearable devices. Digital health aims to transform healthcare delivery through new technologies.
Digital Health
This document provides an overview of digital health, including:
- Digital health refers to using digital technologies like mobile devices, sensors, and AI to improve healthcare access and quality.
- Key applications include remote patient monitoring, telehealth/telemedicine, and using data analytics to enhance care delivery.
- Benefits are lower costs, empowering patients, and improved health outcomes. Challenges include issues around data security, interoperability of devices, and integrating new technologies.
- The future of digital health is personalized care through connected devices and more data-driven decision making in healthcare.
Smart Healthcare A Primer
The emergence of Internet of things IoT , new computing networking paradigms such as cloud computing and fog computing , cloud computing, and machine learning has revolutionized traditional healthcare and led to the dawn of a new era of smart healthcare. Smart healthcare is a huge market opportunity because it improves lots of lives with the smart health solutions. Stakeholders around the globe are seeking innovative, cost effective ways to deliver patient centered, technology enabled smart health care, both inside and outside hospital walls. This paper provides a primer on smart healthcare. Matthew N. O. Sadiku | Adedamola Omotoso | Sarhan M. Musa1 ""Smart Healthcare: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25076.pdf
Paper URL: https://www.ijtsrd.com/home-science/health-and-hygiene/25076/smart-healthcare-a-primer/matthew-n-o-sadiku"
The potential of Artificial Intelligence in Healthcare Industry
Artificial intelligence is a topic that, in its most basic form, integrates computer science and substantial datasets to facilitate problem-solving. Moreover, it includes the branches of artificial intelligence known as deep learning and machine learning, which are commonly addressed together.
Digital health for analog humans
Digital health for analog humans: Changing human roles and responsibilities in the digital transformation of health systems
This document discusses how digital transformation is changing the roles and responsibilities of various human actors in healthcare systems. It notes that while digital health technologies are becoming more prevalent, humans still play central roles. It explores new roles for patients and citizens who may generate and share their own health data, for healthcare professionals who must learn new digital skills, and for health informatics specialists. The document advocates that educators and researchers should help ensure digital transformation supports human needs and responsibilities.
Κωνσταντίνος Γεωργίου, hico22
The document discusses challenges facing healthcare systems including rising costs due to aging populations and chronic diseases. It then summarizes IQVIA's data integration and analytics solution called the IQVIA Data Backbone, which integrates data from various sources to provide insights. The benefits of the IQVIA Data Backbone include running country-wide analytics to inform policy, increasing data access and utility, and improving collaboration. IQVIA has experience providing its E360 platform and applications to governmental organizations around the world.
Health Informatics- Module 1-Chapter 3.pptx
Significance of Information Systems: how information technology enables patient care, how information technology is used by healthcare providers.
Survey of IOT based Patient Health Monitoring System
The Internet of things has provided a promising opportunity and applications for medical services is one of the most important way or solution for taking care of population which is in rapid growth. Internet of things consists of communication and sensors; wireless body area network is highly suitable tool for the medical IOT device. In this survey we discuss mainly on practical issues for implementation of WBAN to health care service tool for the medical devices. The IoT applications are key enabling technologies in industries. A main aim of this survey paper is that it summarizes the present state-of-the-art IOT in industries and also in workflow hospitals systematically. In recent years wide range of opportunity and powerful of IOT applications are developed in industry. The health monitoring system is a big challenge for several researchers. In this paper introduced on the survey of different IOT applications are used for the health monitoring system. The IoT applications are used to decrease the problems which are related to health care system.
Where to get primary health information
Medooc is a search engine for researching medical information.It has been built by medical professionals to help others in the community to research and share credible health information.Doctors, Physcials and medical professionals participate in Medooc.com on day to day basis to help each other.
For more information you can visit:-http://www.medooc.com/
POST EACH DISCUSSION SEPARATELYThe way patient data is harvested.docx
POST EACH DISCUSSION SEPARATELY
The way patient data is harvested and used is rapidly changing. Patient data itself has become quite complex.
In the future
, patient data will be combined with financial data, product or drug data, socioeconomic factors, social patterns, and social determinants of health. Cognitive behavior and artificial intelligence will be applied to the data to help prevent and depict rather than cure disease.
Evaluate the future of Healthcare information technology.
Include the following aspects in the discussion:
Find two articles related to the future of information systems (IS) in healthcare
Include telehealth, wearable technology, patient portals, and data utilization
Analyze potential benefits from advances
Discuss, from your own perspective, the advantages and disadvantages of having a system where the patient manages their own data
REPLY TO MY CLASSMATE’S DISCUSSION TO THE ABOVE QUESTIONS AND EXPLAIN WHY YOU AGREE. MINIMUM OF 150 WORDS EACH
Classmate’s Discussion 1
The technological advancements that have occurred in the field of healthcare have greatly changed the way people view and interact with the healthcare system. They have also led to the reduction of costs and the increasing efficiency of the system. We expect that the future of healthcare will continue to be influenced by information technology.
Due to the technological advancements that have occurred in the field of healthcare, physicians are now able to spend less time with their patients. This has allowed them to provide more effective and efficient care to their patients. In the future, we can expect that the increasing number of specialists who can delegate their work to other doctors will have a significant impact on the healthcare system. The increasing efficiency of doctors is expected to have a significant impact on the shortage of specialist physicians in the future. This issue could be solved using technology. Hopefully, the use of information technology can help boost the number of specialist physicians (Patric, 2022).
Electronic health records have revolutionized the way healthcare is done. Despite the progress that has been made in terms of keeping and tracking these records, they are still not widely used yet. This means that the kind of growth that was expected from the adoption of these records has not materialized. Although the adoption of electronic health records has been made in various parts of the world, it’s still not widely used in all areas. This means that the ability to keep track of one’s medical history is still very important (Patric, 2022).
The increasing importance of information technology in healthcare has led to the prediction that the cost of healthcare will eventually come down. Various factors such as better accessibility and efficiency will help make healthcare more affordable and more effective.
It’s widely believed that keeping one's health is much cheaper and easier than treating a.
A PRACTICAL APPROACH TO PREDICTING DEPRESSION: VERBAL AND NON-VERBAL INSIGHTS...
While global standards have been established for diagnosing depression, the reliance on expert judgement
and observation remains a challenge. This study delves into a potential approach of efficient data
collection to increase the practicability of machine learning models in accurately predicting depression
based on a comprehensive analysis of verbal and non-verbal cues exhibited by individuals.
Health Disparities: Differences in Veteran and Non-Veteran Populations using ...
Introduction: This study investigated self-reported health status, health screenings, vision problems, and
vaccination rates among veteran and non-veteran groups to uncover health disparities that are critical for
informed health system planning for veteran populations.
Methods: Using public-use data from the National Health Interview Survey (2015-2018), this study adopts
an ecologic cross-sectional approach to conduct an in-depth analysis and visualization of the data assisted
by Generative AI, specifically ChatGPT-4. This integration of advanced AI tools with traditional
epidemiological principles enables systematic data management, analysis, and visualization, offering a
nuanced understanding of health dynamics across demographic segments and highlighting disparities
essential for veteran health system planning.
Findings: Disparities in self-reports of health outcomes, health screenings, vision problems, and
vaccination rates were identified, emphasizing the need for targeted interventions and policy adjustments.
Conclusion: Insights from this study could inform health system planning, using epidemiological data
assessment to suggest enhancements for veteran healthcare delivery. These findings highlight the value of
integrating Generative AI with epidemiological analysis in shaping public health policy and health
planning.
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Similar to call for paper
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
Health Informatics - An International Journal (HIIJ)
Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care.
The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below:
International conference on Health Informatics (HEIN 2023)
The key goal of International conference on Health Informatics (HEIN 2023) is to arrange
opportunity for the participants to share their knowledge, innovations , and recent advances in
Artificial intelligence in healthcare, Telemedicine, Evolution of remote care, Health care
privacy and security in 2022, new ideas and experience in person to join from different parts
on the world. Health information system commonly known as health informatics &acts as a
hybrid of information technology and healthcare. It includes gathering information,
researching, analyzing the present systems, and implementing different solutions to address
any and all problems relevant to the healthcare industry. We hope HEIN 2023 outcome will
lead to substantial contributions to the knowledge base which is up-to-date in scientific fields.
Call for Research Articles -5th International Conference on Big Data & Health...
****Registration is currently open ****
5th International Conference on Big Data & Health Informatics (BDHI 2024)
February 17 ~ 18, 2024, Dubai, UAE
Webpage URL : https://aisca2024.org/bdhi/index
Submission URL : https://aisca2024.org/submission/index.php
Submission Deadline : January 20 ,2024
Contact Us
Here's where you can reach us: bdhi@aisca2024.org or bdhiconf@yahoo.com
#data #dataanalysis #dataanalytics #datascience #datamining #internetofthings #datavisualization #database #socialresearch #healthanalytics #informatics #health #mentalhealth #healthcareanalytics #biomedicalengineering #herbalmedicine #science #itprofessionals #universityofessex #healthylifestyle #bigdata #datavisualization #machinelearning #python #analytics #dataanalysis #programming #coding #deeplearning #statistics #technology #artificialintelligence
Augmented Personalized Health: using AI techniques on semantically integrated...
Keynote @ 2018 AAAI Joint Workshop on Health Intelligence (W3PHIAI 2018), 2 February 2018, New Orleans, LA [Video: https://youtu.be/GujvoWRa0O8]
Related article: https://ieeexplore.ieee.org/document/8355891/
Abstract
Healthcare as we know it is in the process of going through a massive change - from episodic to continuous, from disease-focused to wellness and quality of life focused, from clinic centric to anywhere a patient is, from clinician controlled to patient empowered, and from being driven by limited data to 360-degree, multimodal personal-public-population physical-cyber-social big data-driven. While the ability to create and capture data is already here, the upcoming innovations will be in converting this big data into smart data through contextual and personalized processing such that patients and clinicians can make better decisions and take timely actions for augmented personalized health. In this talk, we will discuss how use of AI techniques on semantically integrated patient-generated health data (PGHD), environmental data, clinical data, and public social data is exploited to achieve a range of augmented health management strategies that include self-monitoring, self-appraisal, self-management, intervention, and Disease Progression Tracking and Prediction. We will review examples and outcomes from a number of applications, some involving patient evaluations, including asthma in children, bariatric surgery/obesity, mental health/depression, that are part of the Kno.e.sis kHealth personalized digital health initiative.
Background: Background: http://bit.ly/k-APH, http://bit.ly/kAsthma, http://j.mp/PARCtalk
Health Informatics- Module 1-Chapter 1.pptx
Overview of Health Informatics: survey of fundamentals of health information technology, Identify the forces behind health informatics, educational and career opportunities in health informatics.
What’s next in digital healthcare?
Digital health refers broadly to the intersection of technology and healthcare, incorporating concepts like mobile health apps, electronic health records, wearable devices, and telehealth. It plays an increasingly important role in healthcare by improving quality, access, and efficiency while reducing costs. Examples of digital health technologies include the internet of medical things using sensors and devices to collect health data, and mobile apps to improve communication between patients and doctors. Digital tools give providers more data to enhance care and empower consumers to better manage their own health.
The Rise of AI: Technology Trends in Healthcare
Nobody can predict the future, however by following trends, we can navigate the direction in which we’re heading. Trends are dictated by a wide range of economic and political factors, and often they are propelled by innovations. The newest technological trends owe themselves to necessary innovations in the healthcare industry, spurred by the Covid-19 pandemic.
With the Covid-19 pandemic revealing the gaps and inefficiencies of healthcare systems around the world, the newest developments in healthcare technologies are suddenly getting a lot more attention. This is useful, because the executives who are often hesitant in changing long-standing healthcare practices must revaluate and evolve in order to provide the most effective treatment plans for their patients.
Digital Health An Overview
This document provides an overview of digital health, including:
- Digital health uses technologies like mobile health apps, telemedicine, big data, and wearable devices to improve healthcare access, reduce costs, and improve quality of care.
- Key benefits of digital health include better healthcare through improved access and quality, more personalized care tailored to individuals, and empowering patients to manage their own health.
- Major applications of digital health technologies are remote patient monitoring, telemedicine, use of electronic health records, personalized medicine, and wearable devices. Digital health aims to transform healthcare delivery through new technologies.
Digital Health
This document provides an overview of digital health, including:
- Digital health refers to using digital technologies like mobile devices, sensors, and AI to improve healthcare access and quality.
- Key applications include remote patient monitoring, telehealth/telemedicine, and using data analytics to enhance care delivery.
- Benefits are lower costs, empowering patients, and improved health outcomes. Challenges include issues around data security, interoperability of devices, and integrating new technologies.
- The future of digital health is personalized care through connected devices and more data-driven decision making in healthcare.
Smart Healthcare A Primer
The emergence of Internet of things IoT , new computing networking paradigms such as cloud computing and fog computing , cloud computing, and machine learning has revolutionized traditional healthcare and led to the dawn of a new era of smart healthcare. Smart healthcare is a huge market opportunity because it improves lots of lives with the smart health solutions. Stakeholders around the globe are seeking innovative, cost effective ways to deliver patient centered, technology enabled smart health care, both inside and outside hospital walls. This paper provides a primer on smart healthcare. Matthew N. O. Sadiku | Adedamola Omotoso | Sarhan M. Musa1 ""Smart Healthcare: A Primer"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25076.pdf
Paper URL: https://www.ijtsrd.com/home-science/health-and-hygiene/25076/smart-healthcare-a-primer/matthew-n-o-sadiku"
The potential of Artificial Intelligence in Healthcare Industry
Artificial intelligence is a topic that, in its most basic form, integrates computer science and substantial datasets to facilitate problem-solving. Moreover, it includes the branches of artificial intelligence known as deep learning and machine learning, which are commonly addressed together.
Digital health for analog humans
Digital health for analog humans: Changing human roles and responsibilities in the digital transformation of health systems
This document discusses how digital transformation is changing the roles and responsibilities of various human actors in healthcare systems. It notes that while digital health technologies are becoming more prevalent, humans still play central roles. It explores new roles for patients and citizens who may generate and share their own health data, for healthcare professionals who must learn new digital skills, and for health informatics specialists. The document advocates that educators and researchers should help ensure digital transformation supports human needs and responsibilities.
Κωνσταντίνος Γεωργίου, hico22
The document discusses challenges facing healthcare systems including rising costs due to aging populations and chronic diseases. It then summarizes IQVIA's data integration and analytics solution called the IQVIA Data Backbone, which integrates data from various sources to provide insights. The benefits of the IQVIA Data Backbone include running country-wide analytics to inform policy, increasing data access and utility, and improving collaboration. IQVIA has experience providing its E360 platform and applications to governmental organizations around the world.
Health Informatics- Module 1-Chapter 3.pptx
Significance of Information Systems: how information technology enables patient care, how information technology is used by healthcare providers.
Survey of IOT based Patient Health Monitoring System
The Internet of things has provided a promising opportunity and applications for medical services is one of the most important way or solution for taking care of population which is in rapid growth. Internet of things consists of communication and sensors; wireless body area network is highly suitable tool for the medical IOT device. In this survey we discuss mainly on practical issues for implementation of WBAN to health care service tool for the medical devices. The IoT applications are key enabling technologies in industries. A main aim of this survey paper is that it summarizes the present state-of-the-art IOT in industries and also in workflow hospitals systematically. In recent years wide range of opportunity and powerful of IOT applications are developed in industry. The health monitoring system is a big challenge for several researchers. In this paper introduced on the survey of different IOT applications are used for the health monitoring system. The IoT applications are used to decrease the problems which are related to health care system.
Where to get primary health information
Medooc is a search engine for researching medical information.It has been built by medical professionals to help others in the community to research and share credible health information.Doctors, Physcials and medical professionals participate in Medooc.com on day to day basis to help each other.
For more information you can visit:-http://www.medooc.com/
POST EACH DISCUSSION SEPARATELYThe way patient data is harvested.docx
POST EACH DISCUSSION SEPARATELY
The way patient data is harvested and used is rapidly changing. Patient data itself has become quite complex.
In the future
, patient data will be combined with financial data, product or drug data, socioeconomic factors, social patterns, and social determinants of health. Cognitive behavior and artificial intelligence will be applied to the data to help prevent and depict rather than cure disease.
Evaluate the future of Healthcare information technology.
Include the following aspects in the discussion:
Find two articles related to the future of information systems (IS) in healthcare
Include telehealth, wearable technology, patient portals, and data utilization
Analyze potential benefits from advances
Discuss, from your own perspective, the advantages and disadvantages of having a system where the patient manages their own data
REPLY TO MY CLASSMATE’S DISCUSSION TO THE ABOVE QUESTIONS AND EXPLAIN WHY YOU AGREE. MINIMUM OF 150 WORDS EACH
Classmate’s Discussion 1
The technological advancements that have occurred in the field of healthcare have greatly changed the way people view and interact with the healthcare system. They have also led to the reduction of costs and the increasing efficiency of the system. We expect that the future of healthcare will continue to be influenced by information technology.
Due to the technological advancements that have occurred in the field of healthcare, physicians are now able to spend less time with their patients. This has allowed them to provide more effective and efficient care to their patients. In the future, we can expect that the increasing number of specialists who can delegate their work to other doctors will have a significant impact on the healthcare system. The increasing efficiency of doctors is expected to have a significant impact on the shortage of specialist physicians in the future. This issue could be solved using technology. Hopefully, the use of information technology can help boost the number of specialist physicians (Patric, 2022).
Electronic health records have revolutionized the way healthcare is done. Despite the progress that has been made in terms of keeping and tracking these records, they are still not widely used yet. This means that the kind of growth that was expected from the adoption of these records has not materialized. Although the adoption of electronic health records has been made in various parts of the world, it’s still not widely used in all areas. This means that the ability to keep track of one’s medical history is still very important (Patric, 2022).
The increasing importance of information technology in healthcare has led to the prediction that the cost of healthcare will eventually come down. Various factors such as better accessibility and efficiency will help make healthcare more affordable and more effective.
It’s widely believed that keeping one's health is much cheaper and easier than treating a.
Similar to call for paper (20)
Health Informatics - An International Journal (HIIJ)
Health Informatics - An International Journal (HIIJ)
Health Informatics - An International Journal (HIIJ)
Health Informatics - An International Journal (HIIJ)
Health Informatics - An International Journal (HIIJ)
Health Informatics - An International Journal (HIIJ)
Health Informatics - An International Journal (HIIJ)
Health Informatics - An International Journal (HIIJ)
International conference on Health Informatics (HEIN 2023)
International conference on Health Informatics (HEIN 2023)
Call for Research Articles -5th International Conference on Big Data & Health...
Call for Research Articles -5th International Conference on Big Data & Health...
Augmented Personalized Health: using AI techniques on semantically integrated...
Augmented Personalized Health: using AI techniques on semantically integrated...
The potential of Artificial Intelligence in Healthcare Industry
The potential of Artificial Intelligence in Healthcare Industry
Survey of IOT based Patient Health Monitoring System
Survey of IOT based Patient Health Monitoring System
POST EACH DISCUSSION SEPARATELYThe way patient data is harvested.docx
POST EACH DISCUSSION SEPARATELYThe way patient data is harvested.docx
More from hiij
A PRACTICAL APPROACH TO PREDICTING DEPRESSION: VERBAL AND NON-VERBAL INSIGHTS...
While global standards have been established for diagnosing depression, the reliance on expert judgement
and observation remains a challenge. This study delves into a potential approach of efficient data
collection to increase the practicability of machine learning models in accurately predicting depression
based on a comprehensive analysis of verbal and non-verbal cues exhibited by individuals.
Health Disparities: Differences in Veteran and Non-Veteran Populations using ...
Introduction: This study investigated self-reported health status, health screenings, vision problems, and
vaccination rates among veteran and non-veteran groups to uncover health disparities that are critical for
informed health system planning for veteran populations.
Methods: Using public-use data from the National Health Interview Survey (2015-2018), this study adopts
an ecologic cross-sectional approach to conduct an in-depth analysis and visualization of the data assisted
by Generative AI, specifically ChatGPT-4. This integration of advanced AI tools with traditional
epidemiological principles enables systematic data management, analysis, and visualization, offering a
nuanced understanding of health dynamics across demographic segments and highlighting disparities
essential for veteran health system planning.
Findings: Disparities in self-reports of health outcomes, health screenings, vision problems, and
vaccination rates were identified, emphasizing the need for targeted interventions and policy adjustments.
Conclusion: Insights from this study could inform health system planning, using epidemiological data
assessment to suggest enhancements for veteran healthcare delivery. These findings highlight the value of
integrating Generative AI with epidemiological analysis in shaping public health policy and health
planning.
HEALTH DISPARITIES: DIFFERENCES IN VETERAN AND NON-VETERAN POPULATIONS USING ...
Introduction: This study investigated self-reported health status, health screenings, vision problems, and
vaccination rates among veteran and non-veteran groups to uncover health disparities that are critical for
informed health system planning for veteran populations.
Methods: Using public-use data from the National Health Interview Survey (2015-2018), this study adopts
an ecologic cross-sectional approach to conduct an in-depth analysis and visualization of the data assisted
by Generative AI, specifically ChatGPT-4. This integration of advanced AI tools with traditional
epidemiological principles enables systematic data management, analysis, and visualization, offering a
nuanced understanding of health dynamics across demographic segments and highlighting disparities
essential for veteran health system planning.
Findings: Disparities in self-reports of health outcomes, health screenings, vision problems, and
vaccination rates were identified, emphasizing the need for targeted interventions and policy adjustments.
Conclusion: Insights from this study could inform health system planning, using epidemiological data
assessment to suggest enhancements for veteran healthcare delivery. These findings highlight the value of
integrating Generative AI with epidemiological analysis in shaping public health policy and health
planning.
BRIEF COMMENTARY: USING A LOGIC MODEL TO INTEGRATE PUBLIC HEALTH INFORMATICS ...
The COVID-19 pandemic has been a watershed moment in public health surveillance, highlighting the
crucial role of data-driven insights in informing health actions and policies. Revisiting key concepts—
public health, epidemiology in public health practice, public health surveillance, and public health
informatics—lays the foundation for understanding how these elements converge to create a robust public
health surveillance system framework. Especially during the COVID-19 pandemic, this integration was
exemplified by the WHO efforts in data dissemination and the subsequent global response. The role of
public health informatics emerged as instrumental in this context, enhancing data collection, management,
analysis, interpretation, and dissemination processes. A logic model for public health surveillance systems
encapsulates the integration of these concepts. It outlines the inputs and outcomes and emphasizes the
crucial actions and resources for effective system operation, including the imperative of training and
capacity development.
AUTOMATIC AND NON-INVASIVE CONTINUOUS GLUCOSE MONITORING IN PAEDIATRIC PATIENTS
Glycated haemoglobin does not allow you to highlight the effects that food choices, physical activity and
medications have on your glycaemic control day by day. The best way to monitor and keep track of the
immediate effects that these have on your blood sugar levels is self-monitoring, therefore the use of a
glucometer. Thanks to this tool you have the possibility to promptly receive information that helps you to
intervene in the most appropriate way, bringing or keeping your blood sugar levels as close as possible to
the reference values indicated by your doctor. Currently, blood glucose meters are used to measure and
control blood glucose. Diabetes is a fairly complex disease and it is important for those who suffer from it
to check their blood sugar (blood sugar) periodically throughout the day to prevent dangerous
complications. Many children newly diagnosed with diabetes and their families may face unique challenges
when dealing with the everyday management of diabetes, including treatments, adapting to dietary
changes, and the routine monitoring of blood glucose. Many questions may also arise when selecting a
blood glucose meter for paediatric patients. With current blood glucose meters, even with multiple daily
self-tests, high and low blood glucose levels may not be detected. Key factors that may be considered when
selecting a meter include accuracy of the meter; size of the meter; small sample size required for testing;
ease of use and easy-to-follow testing procedure; ability for alternate testing sites; quick testing time and
availability of results; ease of portability to allow testing at school and during leisure time; easyto- read
numbers on display; memory options; cost of meter and supplies. In this study we will show a new
automatic portable, non-invasive device and painless for the daily continuous monitoring (24 hours a day)
of blood glucose in paediatric patients.
INTEGRATING MACHINE LEARNING IN CLINICAL DECISION SUPPORT SYSTEMS
This review article examines the role of machine learning (ML) in enhancing Clinical Decision Support
Systems (CDSSs) within the modern healthcare landscape. Focusing on the integration of various ML
algorithms, such as regression, random forest, and neural networks, the review aims to showcase their
potential in advancing patient care. A rapid review methodology was utilized, involving a survey of recent
articles from PubMed and Google Scholar on ML applications in healthcare. Key findings include the
demonstration of ML's predictive power in patient outcomes, its ability to augment clinician knowledge,
and the effectiveness of ensemble algorithmic approaches. The review highlights specific applications of
diverse ML models, including moment kernel machines in predicting surgical outcomes, k-means clustering
in simplifying disease phenotypes, and extreme gradient boosting in estimating injury risk. Emphasizing
the potential of ML to tackle current healthcare challenges, the article highlights the critical role of ML in
evolving CDSSs for improved clinical decision-making and patient care. This comprehensive review also
addresses the challenges and limitations of integrating ML into healthcare systems, advocating for a
collaborative approach to refine these systems for safety, efficacy, and equity.
BRIEF COMMENTARY: USING A LOGIC MODEL TO INTEGRATE PUBLIC HEALTH INFORMATICS ...
The COVID-19 pandemic has been a watershed moment in public health surveillance, highlighting the
crucial role of data-driven insights in informing health actions and policies. Revisiting key concepts—
public health, epidemiology in public health practice, public health surveillance, and public health
informatics—lays the foundation for understanding how these elements converge to create a robust public
health surveillance system framework. Especially during the COVID-19 pandemic, this integration was
exemplified by the WHO efforts in data dissemination and the subsequent global response. The role of
public health informatics emerged as instrumental in this context, enhancing data collection, management,
analysis, interpretation, and dissemination processes. A logic model for public health surveillance systems
encapsulates the integration of these concepts. It outlines the inputs and outcomes and emphasizes the
crucial actions and resources for effective system operation, including the imperative of training and
capacity development.
INTEGRATING MACHINE LEARNING IN CLINICAL DECISION SUPPORT SYSTEMS
This review article examines the role of machine learning (ML) in enhancing Clinical Decision Support
Systems (CDSSs) within the modern healthcare landscape. Focusing on the integration of various ML
algorithms, such as regression, random forest, and neural networks, the review aims to showcase their
potential in advancing patient care. A rapid review methodology was utilized, involving a survey of recent
articles from PubMed and Google Scholar on ML applications in healthcare. Key findings include the
demonstration of ML's predictive power in patient outcomes, its ability to augment clinician knowledge,
and the effectiveness of ensemble algorithmic approaches. The review highlights specific applications of
diverse ML models, including moment kernel machines in predicting surgical outcomes, k-means clustering
in simplifying disease phenotypes, and extreme gradient boosting in estimating injury risk. Emphasizing
the potential of ML to tackle current healthcare challenges, the article highlights the critical role of ML in
evolving CDSSs for improved clinical decision-making and patient care. This comprehensive review also
addresses the challenges and limitations of integrating ML into healthcare systems, advocating for a
collaborative approach to refine these systems for safety, efficacy, and equity.
The Proposed Guidelines for Cloud Computing Migration for South African Rural...
It is now overdue for the hospitals in South African rural areas to implement cloud computing technologies in order to access patient data quickly in an emergency. Sometimes medical practitioners take time to attend patients due to the unavailability of kept records, leading to either a loss of time or the reassembling of processes to recapture lost patient files. However, there are few studies that highlight challenges faced by rural hospitals but they do not recommend strategies on how they can migrate to cloud computing. The purpose of this paper was to review recent papers about the critical factors that influence South African hospitals in adopting cloud computing. The contribution of the study is to lay out the importance of cloud computing in the health sectors and to suggest guidelines that South African rural hospitals can follow in order to successfully relocate into cloud computing.The existing literature revealed that Hospitals may enhance their record-keeping procedures and conduct business more effectively with the help of the cloud computing. In conclusion, if hospitals in South African rural areas is to fully benefit from cloud-based records management systems, challenges relating to data storage, privacy, security, and the digital divide must be overcome.
SUPPORTING LARGE-SCALE NUTRITION ANALYSIS BASED ON DIETARY SURVEY DATA
While online survey systems facilitate the collection on copious records on diet, exercise and other healthrelated data, scientists and other public health experts typically must download data from those systems
into external tools for conducting statistical analyses. A more convenient approach would enable
researchers to perform analyses online, without the need to coordinate additional analysis tools. This
paper presents a system illustrating such an approach, using as a testbed the WAVE project, which is a 5-
year childhood obesity prevention initiative being conducted at Oregon State University by health scientists
utilizing a web application called WavePipe. This web application has enabled health scientists to create
studies, enrol subjects, collect physical activity data, and collect nutritional data through online surveys.
This paper presents a new sub-system that enables health scientists to analyse and visualize nutritional
profiles based on large quantities of 24-hour dietary recall records for sub-groups of study subjects over
any desired period of time. In addition, the sub-system enables scientists to enter new food information
from food composition databases to build a comprehensive food profile. Interview feedback from novice
health science researchers using the new functionality indicated that it provided a usable interface and
generated high receptiveness to using the system in practice.
AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW
The document summarizes a systematic literature review on factors influencing adoption of eHealth technologies in developing countries. The review analyzed 29 papers published between 2009-2021. Key findings included:
- Widely used frameworks for eHealth adoption in developing countries were TAM, UTAUT, and TOE, but these did not fully capture all relevant factors.
- Additional factors identified included socio-demographic, technological, information, socio-cultural, organizational, governance, ethical/legal, and financial dimensions.
- The review proposed a novel, context-specific eHealth adoption framework for developing countries with eight dimensions addressing the above factors.
GENDER DISPARITYOF TUBERCULOSISBURDENIN LOW-AND MIDDLE-INCOME COUNTRIES: A SY...
The tuberculosis burden is higher in the population from low- and middle-income countries (LMICs) and
differently affects gender. This review explored risk factors that determine gender disparity in tuberculosis
in LMICs. The research design was a systematic review. Three databases; Google Scholar, PubMed, and
HINARI provided 69 eligible papers.The synthesized data were coded, grouped and written in a descriptive
narrative style. HIV-TB co-infected women had a higher risk of mortality than TB-HIV-infected men. The
risk of Vitamin-D deficiency-induced tuberculosis was higher in women than in men. Lymph node TB,
breast TB, and cutaneous and abdominal TB occurred commonly in women whereas pleuritis, miliary TB,
meningeal TB, pleural TB and bone and joint TB were common in men. Employed men had higher contact
with tuberculosis patients and an increased chance of getting the disease. Migrant women were more likely
to develop tuberculosis than migrant men. The TB programmers and policymakers should balance the
different gaps of gender in TB-related activities and consider more appropriate approaches to be genderbased and have equal access to every TB-associated healthcare.
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
Medical and health data that have been entered into an electronic data system in real-time cannot be
assumed to be accurate and of high quality without verification. The adoption of the electronic health
record (EHR) by many countries to the support care and treatment of patients illustrates the importance of
high quality data that can be shared for efficient patient care and the operation of healthcare systems.
This brief communication provides a high-level overview of an EHR system and practices related to high
data quality and data hygiene that could contribute to the analysis and interpretation of EHR data for use
in patient care and healthcare system administration.
CHINESE PHARMACISTS LAW MODIFICATION, HOW TO PROTECT PATIENTS‘INTERESTS？
The pharmacy profession is relatively new in China. Recently, the demand for pharmacists has increased
as China's hospital system has been unable to support a large patient population due to the increasing
demand for health care. This paper discusses how to improve the Chinese pharmacist law. To make
reasonable laws on pharmacists, used to regulate and manage communication between pharmacists and
patients, the ethical relationships, financial support and degree requirement, and governance of
pharmacists. Improving pharmacist laws can help improve the quality of pharmacists' work, protect patient
privacy, and enhance pharmacists' work efficiency. I will use government reports and authoritative data
collected by myself as examples to analyze what needs to be improved in pharmacist law.
GENDER DISPARITYOF TUBERCULOSISBURDENIN LOW-AND MIDDLE-INCOME COUNTRIES: A SY...
The tuberculosis burden is higher in the population from low- and middle-income countries (LMICs) and
differently affects gender. This review explored risk factors that determine gender disparity in tuberculosis
in LMICs. The research design was a systematic review. Three databases; Google Scholar, PubMed, and
HINARI provided 69 eligible papers.The synthesized data were coded, grouped and written in a descriptive
narrative style. HIV-TB co-infected women had a higher risk of mortality than TB-HIV-infected men. The
risk of Vitamin-D deficiency-induced tuberculosis was higher in women than in men. Lymph node TB,
breast TB, and cutaneous and abdominal TB occurred commonly in women whereas pleuritis, miliary TB,
meningeal TB, pleural TB and bone and joint TB were common in men. Employed men had higher contact
with tuberculosis patients and an increased chance of getting the disease. Migrant women were more likely
to develop tuberculosis than migrant men. The TB programmers and policymakers should balance the
different gaps of gender in TB-related activities and consider more appropriate approaches to be genderbased and have equal access to every TB-associated healthcare.
PERSONALIZED MEDICINE SUPPORT SYSTEM: RESOLVING CONFLICT IN ALLOCATION TO RIS...
This document discusses developing a personalized medicine support system that can predict patient molecular response to targeted cancer therapies and assess patient risk groups. It reviews using clinical data and knowledge from sources like clinical trials and electronic health records to build predictive and prognostic models. Key challenges include resolving conflicts between different data sources and knowledge, and distinguishing predictive factors that predict treatment response from prognostic factors that predict overall patient outcomes. The system aims to integrate domain knowledge and provide decision support for personalized cancer treatment.
BRIEF COMMUNICATIONS DATA HYGIENE: IMPORTANT STEP IN DECISIONMAKING WITH IMPL...
Medical and health data that have been entered into an electronic data system in real-time cannot be
assumed to be accurate and of high quality without verification. The adoption of the electronic health
record (EHR) by many countries to the support care and treatment of patients illustrates the importance of
high quality data that can be shared for efficient patient care and the operation of healthcare systems.
This brief communication provides a high-level overview of an EHR system and practices related to high
data quality and data hygiene that could contribute to the analysis and interpretation of EHR data for use
in patient care and healthcare system administration.
CLINICAL AND SOCIAL DETERMINANTS TO IMPROVE DOD/VETERAN WELL BEING: THE SERVI...
This paper introduces the Service member Veteran Risk Profile (SVRP), a mathematical process/solution to
quantitatively represent transitioning Service member (TSM) and/or Veteran quality of life risks by
integrating clinical and social determinant data into an individual risk profile. The SVRP creates, for the
first time, a mechanism for the Department of Defense (DoD) and Department of Veterans Affairs (VA) to
holistically represent the challenges of military members transitioning into civilian life that can lead to
negative outcomes and proactively identify transitioning Service members and Veterans at risk. More
importantly, the SVRP supports clinical and non-clinical modalities to reduce the negative impacts of
transition and beyond for TSM and Veterans. Lastly, the SVRP can be displayed through user-friendly
visualizations so DoD/VA policymakers and decision-makers can make more informed policy and resource
decisions to improve TSM/Veteran overall quality of life.
Design of RLE Scorer Web Forms and Nursing Students Efficacy in Parenteral Dr...
Related Learning Experience or RLE is acourse offered in Tobruk University College of Nursing for 1st
year and 2nd year students to prepare them for actual scenario in the hospital by practising skills related to
Nursing and Health care. Team teaching is used to perform this activity and evaluated by Return
Demonstration in the laboratory class and once more in the Final Return Demonstration or final exam.
Tabulating all procedures and steps is a tedious matter doing it manually. In this study the proponents
designed an RLE Scorer web forms based on Google survey forms to collect students performance and to
computer for their equivalent marks. The focus of the study is in RLE 3 or parenteral drug administration.
The collected data was saved in the Google drive and downloaded later; the results were treated
statistically to find the mean score in all 5 procedures of RLE 3, and to find the difference between male
and female respondents and the difference of variance based on rating. It was shown that the students
performed generally well reaching the passing mark. The male students fared better in all procedures
compared to femalebut there was no significant difference established. The purpose of the study is to
encourage technological adaptation in collecting performances of nursing students, promoting team
teaching in training of nursing skills in RLE thus supporting quality nursing education and nursing
informatics.
DETECTION OF CRACKLES AND WHEEZES IN LUNG SOUND USING TRANSFER LEARNING
This document presents research on detecting crackles and wheezes in lung sounds using transfer learning. The researchers used the VGG16 convolutional neural network to extract features from lung sound spectrograms preprocessed using Mel Frequency Cepstral Coefficients. They trained and tested the model on the ICBHI 2017 Respiratory Sound Database, achieving 95% accuracy, 88% precision, 86% recall, and 81% F1 score. The researchers compared their results to other CNN and RNN models to determine the optimal model for lung sound classification.
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Health Disparities: Differences in Veteran and Non-Veteran Populations using ...
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SUPPORTING LARGE-SCALE NUTRITION ANALYSIS BASED ON DIETARY SURVEY DATA
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AN EHEALTH ADOPTION FRAMEWORK FOR DEVELOPING COUNTRIES: A SYSTEMATIC REVIEW
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CHINESE PHARMACISTS LAW MODIFICATION, HOW TO PROTECT PATIENTS‘INTERESTS？
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GENDER DISPARITYOF TUBERCULOSISBURDENIN LOW-AND MIDDLE-INCOME COUNTRIES: A SY...
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Design of RLE Scorer Web Forms and Nursing Students Efficacy in Parenteral Dr...
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DETECTION OF CRACKLES AND WHEEZES IN LUNG SOUND USING TRANSFER LEARNING
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Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
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◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Object Oriented Analysis and Design - OOAD
This ppt gives detailed description of Object Oriented Analysis and design.
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
一比一原版(爱大毕业证书)爱荷华大学毕业证如何办理
原版一模一样【微信：741003700 】【(爱大毕业证书)爱荷华大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
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二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理加利福尼亚艺术学院加利福尼亚艺术学院毕业证文凭证书流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
SCALING OF MOS CIRCUITS m .pptx
this ppt explains about scaling parameters of the mosfet it is basically vlsi subject
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
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AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...
AI + Data Community Tour - Build the Next Generation of Apps with the Einstei...Paris Salesforce Developer Group
Build the Next Generation of Apps with the Einstein 1 Platform.
Rejoignez Philippe Ozil pour une session de workshops qui vous guidera à travers les détails de la plateforme Einstein 1, l'importance des données pour la création d'applications d'intelligence artificielle et les différents outils et technologies que Salesforce propose pour vous apporter tous les bénéfices de l'IA.AI for Legal Research with applications, tools
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
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call for paper
- 1. Health Informatics - An International Journal (HIIJ) ISSN: 2319 - 2046 (Online); 2319 - 3190 (Print) http://airccse.org/journal/hiij/index.html Call for papers Healthcare Informatics: An International Journal is a quarterly open access peer-reviewed journal that Publishes articles which contribute new results in all areas of the health care. The journal focuses on all of aspect in theory, practices, and applications of Digital Health Records, Knowledge Engineering in Health, E-Health Information, and Information Management in healthcare, Bio-Medical Expert Systems, ICT in health promotion and related topics. Original contributions are solicited on topics covered under the broad areas such as (but not limited to) listed below: Topics of Interest Electronic health records Knowledge engineering E-Health Information Information Management in healthcare Expert Systems in Biomdical Communication System in Helthcare Artificial Intelligence in Medicine and Health Sciences Ontological Engineering in Medicine Health Care Information Systems Knowledge management in Healthcare Clinical Information Systems Bioinformatics and Biostatistics Mobile applications for patient care Medical Interoperability Medical Devices and sensors Impact and usability Medical Image Processing and Techniques ICT in health promotion programmes e-health Guidelines and protocols E-learning and education in healtcare Telemedicine Software, Portals, Devices and Telehealth Public health and consumer informatics Data Mining and Knowledge Discovery in Medicine ICT for Patient empowerment ICT for Patient safety Medical Databanks, Databases, and Knowledge Bases Neurocomputing in Medicine. Healthcare Quality assurance Nursing Informatics Evaluation and technology assessment Home-based eHealth Health Management Issues Health Research Health Economics Issues
- 2. Epidemiology and health management Advanced statistics and health systems Clinical informatics Paper Submission Authors are invited to submit papers for this journal through E-mail: hiij@aircconline.com. must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates Submission Deadline: August 27, 2022 Notification : September 27, 2022 Final Manuscript Due : October 04, 2022 Publication Date : Determined by theEditor-in-Chief Contact us: hiijjournal@yahoo.com (or)hiij@aircconline.com