This document provides a summary of a project report submitted by four students - Naina Sangole, Chetana Nimje, Prachi Dhawale, and Sejal Meshram - for their Bachelor of Computer Application degree. The report describes the development of a "Covid-19 Management System" project to allow users to register for Covid tests and vaccines online, track Covid cases, and access test reports digitally. The report includes sections acknowledging those who assisted with the project, certifying completion of the project, tables of contents, the project abstract, introduction, literature review on existing systems and their limitations, objectives of the proposed system, screenshots of the system, coding details, and conclusions.
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELSIRJET Journal
This document describes a study that uses machine learning models to forecast factors related to the COVID-19 pandemic over the next 10 days. It trains and tests four supervised learning regression models - linear regression, least absolute shrinkage and selection operator, support vector machine, and exponential smoothing - on a dataset of daily COVID-19 case statistics. The models predict the number of new confirmed cases, deaths, and recoveries. The results show that exponential smoothing performs best, accurately forecasting the trends in new cases, death rate, and recovery rate. Linear regression and LASSO also perform well for these predictions, while support vector machine performs poorly.
Deep Learning Approaches for Diagnosis and Treatment of COVID-19IRJET Journal
The document discusses using deep learning approaches for diagnosing and treating COVID-19. It first provides background on deep learning and convolutional neural networks. It then discusses challenges in early COVID-19 diagnosis and the need for computer-assisted diagnosis methods. The paper reviews several existing studies that used deep learning on CT scans and X-rays to classify COVID-19. It proposes developing a COVID-19 diagnosis system using a lung CT image dataset and deep learning models. The system would be designed, implemented and tested to efficiently detect COVID-19 infections from CT scans.
An intelligent approach for detection of covid by analysing Xray and CT scan ...IRJET Journal
This document presents an intelligent approach to detect COVID-19 using X-ray and CT scan images. It discusses developing a deep learning model using a convolutional neural network (CNN) to analyze medical images and classify them as coming from COVID-19 positive or negative cases. The model would be integrated into a web application using Flask that allows users to upload images for rapid diagnosis. The goal is to address issues with traditional testing methods that can take days to get results, and to help reduce the spread of COVID-19 through faster detection. The document reviews several related studies applying deep learning to COVID-19 detection from medical images and discusses the materials and methodology used to develop and evaluate the proposed intelligent detection system.
Covid-19 is the destructive world’s most recent pandemic that is experienced in every part of the world.
This deadly virus affects different people in different ways. Most infected people will develop mild to moderate
illness and recover without hospitalisation. Covid-19 most common symptoms include fever, dry and tiredness.
It is against this background that in Namibian health environment the country uses a manual system to record
public member’s demographic information when visiting public places which do not allow tracing and monitoring of every public member who visited the 14 regions in the country. Therefore, the present study developed a
National COVID-19 health contact tracing and monitoring system which will allow every public member who visits
an enclosed public place by capturing their demographic information as well as the date and time the facility was
visited. The system replaces the paper-based method of recording the information of people visiting public places
with an entrance that allows the coming in and out of people. The system will also allow for real-time monitoring of
temperature changes of individuals.
The document describes a Bluetooth-based contact tracing app called COCOA that is being used in Japan to track the spread of COVID-19. The app prioritizes user privacy while improving the ability to balance health care system loads and speed up pandemic responses. It uses a decentralized peer-to-peer system to notify users of potential exposure risks without revealing identities. For the app to be effective, modeling shows participation needs to be near 90% to limit virus spread in Japan.
1. Researchers developed an X-ray disease identifier using a deep learning model to analyze chest X-ray images and diagnose diseases.
2. They used the VGG19 classification model to process X-ray images from the NIH dataset and diagnose diseases, achieving over 60% accuracy for most diseases.
3. The system aims to assist radiologists by providing automated disease diagnoses from X-ray images to reduce their workload and enable diagnoses in remote areas.
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHESIRJET Journal
This document summarizes a research paper that used machine learning models to predict the spread of COVID-19. The researchers used various machine learning algorithms like SVM, random forest, decision tree, and linear regression on COVID-19 case data. SVM had the highest error in predictions, while random forest and decision tree performed best with lowest error. The models were developed using Python and deployed on cloud platforms. The study aimed to accurately predict COVID-19 trends to help governments respond better to the pandemic.
Predictions And Analytics In Healthcare: Advancements In Machine LearningIRJET Journal
This document discusses advancements in machine learning and predictive analytics for healthcare. It begins with an introduction discussing how technologies like machine learning and artificial intelligence can help researchers and doctors achieve goals faster when integrated with healthcare. The document then reviews literature on challenges with analyzing big healthcare data due to issues like data variety, speed and volume. It discusses different machine learning algorithms that have been used for disease prediction and diagnosis, including decision trees, random forests, bagging and boosting. The methodology section outlines the use of an ensemble approach, combining multiple models to improve overall accuracy. Technologies implemented in this work include Python libraries like Pandas, NumPy and Scikit-learn for data processing and modeling, along with Flask and AWS for web app deployment. The
COVID-19 FUTURE FORECASTING USING SUPERVISED MACHINE LEARNING MODELSIRJET Journal
This document describes a study that uses machine learning models to forecast factors related to the COVID-19 pandemic over the next 10 days. It trains and tests four supervised learning regression models - linear regression, least absolute shrinkage and selection operator, support vector machine, and exponential smoothing - on a dataset of daily COVID-19 case statistics. The models predict the number of new confirmed cases, deaths, and recoveries. The results show that exponential smoothing performs best, accurately forecasting the trends in new cases, death rate, and recovery rate. Linear regression and LASSO also perform well for these predictions, while support vector machine performs poorly.
Deep Learning Approaches for Diagnosis and Treatment of COVID-19IRJET Journal
The document discusses using deep learning approaches for diagnosing and treating COVID-19. It first provides background on deep learning and convolutional neural networks. It then discusses challenges in early COVID-19 diagnosis and the need for computer-assisted diagnosis methods. The paper reviews several existing studies that used deep learning on CT scans and X-rays to classify COVID-19. It proposes developing a COVID-19 diagnosis system using a lung CT image dataset and deep learning models. The system would be designed, implemented and tested to efficiently detect COVID-19 infections from CT scans.
An intelligent approach for detection of covid by analysing Xray and CT scan ...IRJET Journal
This document presents an intelligent approach to detect COVID-19 using X-ray and CT scan images. It discusses developing a deep learning model using a convolutional neural network (CNN) to analyze medical images and classify them as coming from COVID-19 positive or negative cases. The model would be integrated into a web application using Flask that allows users to upload images for rapid diagnosis. The goal is to address issues with traditional testing methods that can take days to get results, and to help reduce the spread of COVID-19 through faster detection. The document reviews several related studies applying deep learning to COVID-19 detection from medical images and discusses the materials and methodology used to develop and evaluate the proposed intelligent detection system.
Covid-19 is the destructive world’s most recent pandemic that is experienced in every part of the world.
This deadly virus affects different people in different ways. Most infected people will develop mild to moderate
illness and recover without hospitalisation. Covid-19 most common symptoms include fever, dry and tiredness.
It is against this background that in Namibian health environment the country uses a manual system to record
public member’s demographic information when visiting public places which do not allow tracing and monitoring of every public member who visited the 14 regions in the country. Therefore, the present study developed a
National COVID-19 health contact tracing and monitoring system which will allow every public member who visits
an enclosed public place by capturing their demographic information as well as the date and time the facility was
visited. The system replaces the paper-based method of recording the information of people visiting public places
with an entrance that allows the coming in and out of people. The system will also allow for real-time monitoring of
temperature changes of individuals.
The document describes a Bluetooth-based contact tracing app called COCOA that is being used in Japan to track the spread of COVID-19. The app prioritizes user privacy while improving the ability to balance health care system loads and speed up pandemic responses. It uses a decentralized peer-to-peer system to notify users of potential exposure risks without revealing identities. For the app to be effective, modeling shows participation needs to be near 90% to limit virus spread in Japan.
1. Researchers developed an X-ray disease identifier using a deep learning model to analyze chest X-ray images and diagnose diseases.
2. They used the VGG19 classification model to process X-ray images from the NIH dataset and diagnose diseases, achieving over 60% accuracy for most diseases.
3. The system aims to assist radiologists by providing automated disease diagnoses from X-ray images to reduce their workload and enable diagnoses in remote areas.
PREDICTION OF COVID-19 USING MACHINE LEARNING APPROACHESIRJET Journal
This document summarizes a research paper that used machine learning models to predict the spread of COVID-19. The researchers used various machine learning algorithms like SVM, random forest, decision tree, and linear regression on COVID-19 case data. SVM had the highest error in predictions, while random forest and decision tree performed best with lowest error. The models were developed using Python and deployed on cloud platforms. The study aimed to accurately predict COVID-19 trends to help governments respond better to the pandemic.
Predictions And Analytics In Healthcare: Advancements In Machine LearningIRJET Journal
This document discusses advancements in machine learning and predictive analytics for healthcare. It begins with an introduction discussing how technologies like machine learning and artificial intelligence can help researchers and doctors achieve goals faster when integrated with healthcare. The document then reviews literature on challenges with analyzing big healthcare data due to issues like data variety, speed and volume. It discusses different machine learning algorithms that have been used for disease prediction and diagnosis, including decision trees, random forests, bagging and boosting. The methodology section outlines the use of an ensemble approach, combining multiple models to improve overall accuracy. Technologies implemented in this work include Python libraries like Pandas, NumPy and Scikit-learn for data processing and modeling, along with Flask and AWS for web app deployment. The
Covid-19 Data Analysis and VisualizationIRJET Journal
This document summarizes a research paper that analyzes COVID-19 data using machine learning algorithms. It first introduces the authors and provides an abstract describing the project's goal of gaining insights from COVID-19 data using Python and Tableau visualization tools. It then reviews related work applying models and algorithms to infectious disease data. The methodology section outlines the process used: collecting data from government websites, cleaning the data, performing data visualization, calculating accuracy of different algorithms (logistic regression, KNN, random forest, decision tree), and using the most accurate algorithm to predict if a person is COVID-19 positive based on symptoms.
Cloud Based Covid 19 Testing Management Systemijtsrd
This document describes a cloud-based COVID-19 testing management system. The system allows patients to register online, book appointments for COVID tests, and have samples collected at their homes. Test results are generated automatically and patients can access results by logging into the system. The system is intended to streamline COVID testing processes and reduce burden on patients and testing centers. It discusses how cloud services can help develop such an online system using tools like EC2 instances, security groups, and user data scripts.
Design and development of a fuzzy explainable expert system for a diagnostic ...IJECEIAES
Expert systems have been widely used in medicine to diagnose different diseases. However, these rule-based systems only explain why and how their outcomes are reached. The rules leading to those outcomes are also expressed in a machine language and confronted with the familiar problems of coverage and specificity. This fact prevents procuring expert systems with fully human-understandable explanations. Furthermore, early diagnosis involves a high degree of uncertainty and vagueness which constitutes another challenge to overcome in this study. This paper aims to design and develop a fuzzy explainable expert system for coronavirus disease-2019 (COVID-19) diagnosis that could be incorporated into medical robots. The proposed medical robotic application deduces the likelihood level of contracting COVID-19 from the entered symptoms, the personal information, and the patient's activities. The proposal integrates fuzzy logic to deal with uncertainty and vagueness in diagnosis. Besides, it adopts a hybrid explainable artificial intelligence (XAI) technique to provide different explanation forms. In particular, the textual explanations are generated as rules expressed in a natural language while avoiding coverage and specificity problems. Therefore, the proposal could help overwhelmed hospitals during the epidemic propagation and avoid contamination using a solution with a high level of explicability.
Medic - Artificially Intelligent System for Healthcare Services ...IRJET Journal
This document describes an artificially intelligent system called Medic that aims to provide healthcare services using artificial intelligence technologies. Medic uses natural language processing, fuzzy logic, deep learning and a knowledge base to diagnose diseases from patients' descriptions of their symptoms. It can also recommend medical tests and prescriptions. The system architecture includes interfaces for patients and doctors, a central database, and image recognition and decision making modules. Convolutional neural networks are used for image-based disease identification. The goal of Medic is to make healthcare more accessible and affordable by providing services remotely using artificial intelligence.
Management of patient information trends and challenges in member statesDr Lendy Spires
The document discusses trends and challenges in managing patient information based on findings from the second global survey on eHealth conducted by the WHO Global Observatory for eHealth. It analyzes results related to collection and use of patient data at local, regional, and national levels. Many countries still rely on paper-based systems while use of electronic systems is growing. Electronic systems are used more for aggregated data than individual patient records. Standards adoption is progressing to facilitate data exchange, though low-income countries face challenges developing large-scale electronic medical record systems.
Survey On Machine Learning Based Patient Monitoring Algorithm Using Oxygen Sa...IRJET Journal
This document describes a study on developing a machine learning-based patient monitoring algorithm using oxygen saturation (SpO2) levels. The proposed system would continuously monitor a patient's temperature and SpO2 using IoT devices and sensors. It would then construct a machine learning model to predict patient severity and regularly upload the data to a private server. This would allow doctors to remotely monitor patients' conditions without them needing to stay in the hospital. The system aims to reduce risks to patients' lives and limit healthcare worker exposure by enabling early detection and monitoring of health issues.
Presentation at 2007 Annual Meeting of VA Patient Safety Managers and OfficersNoel Eldridge
This presentation was for 150 or so Dept of VA Patient Safety managers with and for whom I worked at VA Central Office while they worked at the VA Medical Centers and Network offices. The main items of interest are the preliminary work that I was describing from the periphery of the then developing VA MRSA Prevention Program, which was quite successful and led by Dr. Rajiv Jain (and published in NEJM: http://www.nejm.org/doi/full/10.1056/NEJMoa1007474#t=abstract). Also of interest is the wide-ranging work that VA NCPS led on the follow up on an OIG report that identified problems in some of VA's operating rooms. Also of interest is slide 36 where I present some interesting data on VA's reduction in unadjusted inpatient mortality - this hasn't been widely publicized or published to my knowledge. The second to last slide refers to the fact that the day after the meeting I was going to the Grand Canyon and planning to hike to the bottom one day and out the next day. That turned out to be a great experience.
COVID-19 knowledge-based system for diagnosis in Iraq using IoT environmentnooriasukmaningtyas
The importance and benefits of healthcare mobile applications is increasing rapidly, especially when such applications are connected to the internet of things (IoT). This paper describes a smart knowledge-based system (KBS) that helps patients showing symptoms of Influenza verify being infected with Coronavirus, commonly known as COVID-19. In addition to the systems’ diagnostic functionality, it helps these patients get medical assistance fast by notifying medical authorities using the IoT. This system displays patient’s location, phone number, date and time of examination. During the applications’ development, the developers used Twilio, short message service (SMS), WhatsApp, and Google map applications.
Symptom-Based Prediction of COVID-19 using Machine Learning Models with SMOTE...IRJET Journal
The document presents a study that uses machine learning models to predict COVID-19 based on symptom data. The study uses a dataset of 127 COVID-19 cases containing 20 features on symptoms and patient characteristics. Feature selection is applied to identify the most important features for prediction. To address class imbalance in the data, SMOTE oversampling is used. Five machine learning algorithms (Random Forest, SVM, Logistic Regression, Naive Bayes, XGBoost) are trained on the data and evaluated. The Random Forest model combined with SMOTE achieved the highest accuracy of 98% for COVID-19 prediction.
GLI TB Diagnostics Connectivity Guide 2016SystemOne
This document provides an overview of diagnostics connectivity solutions for tuberculosis (TB) programs. It discusses how connectivity solutions can enable remote monitoring of diagnostic devices, automatically send test results to clinicians and health information systems, facilitate inventory management, and enhance disease surveillance and program monitoring. The document also covers the necessary software, hardware, internet connectivity, data security, personnel needs, and budgeting considerations for implementing diagnostics connectivity solutions. Overall, the document presents connectivity solutions as a way for TB programs to improve patient care and management while strengthening laboratory systems.
ADAPTIVE LEARNING EXPERT SYSTEM FOR DIAGNOSIS AND MANAGEMENT OF VIRAL HEPATITISijaia
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted
diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the
uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis
B. In order to develop this system, the knowledge is acquired using both structured and semi-structured
interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and
represented using rule based reasoning techniques. Both forward and backward chaining is used to infer
the rules and provide appropriate advices in the developed expert system. For the purpose of developing
the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with
dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived
knowledge from domain experts adaptively without any help from the knowledge engineer.
Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitisgerogepatton
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis B. In order to develop this system, the knowledge is acquired using both structured and semi-structured interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and represented using rule based reasoning techniques. Both forward and backward chaining is used to infer the rules and provide appropriate advices in the developed expert system. For the purpose of developing the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived knowledge from domain experts adaptively without any help from the knowledge engineer
Sepsis Prediction Using Machine LearningIRJET Journal
This document summarizes a research paper that used machine learning algorithms to predict sepsis in ICU patients using vital sign and laboratory data. The researchers:
1) Collected data from 36,000 patients including vital signs, lab values, and demographics as features for an MLP classifier model.
2) The top important features for prediction were temperature, oxygen saturation, respiratory rate, and heart rate.
3) The MLP classifier model achieved a log loss of 0.15 and was able to accurately predict sepsis risk from patient data on admission to the ICU.
Early prediction of sepsis using machine learning approaches can help clinicians initiate early treatment and reduce mortality and healthcare costs.
Design and Development of Cold Chain Monitoring SystemLihguong Jang
This document describes the design and development of a cold chain monitoring system for vaccines. The system was created to ensure vaccine safety by strictly monitoring temperature from production to usage and allowing information sharing between all entities involved. It includes modules for vaccine suppliers, manufacturers, logistics providers, medical facilities, and functions for temperature monitoring, emergency reporting, and inspections. The system establishes authority levels and data access controls. It was tested using scenarios involving temperature deviations and ineffective vaccines to demonstrate how the system could quickly identify issues and improve safety oversight of vaccines. The goal is to implement such a system in Taiwan to better manage vaccine quality and trace any problems.
Systematic review of quality standards for medical devices and practice measu...Pubrica
A systematic literature search performed in databases (Medline, Cochrane Library, Scopus, Embase, CRD York), selected journals and websites identified articles describing either a general MDR structure or the development process of specific registries.
Learn More : https://pubrica.com/services/research-services/systematic-review/
Reference: https://bit.ly/3MCXLOK
Why Pubrica:
When you order our services, we promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Bio statistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44-1618186353
Structure and development of a clinical decision support system: application ...komalicarol
Clinical decision requires to infer great, diverse and not suitably
organized quantity of information and having low time to decide.
The therapeutic choice is fundamental to formulate a strategy to
avoid complications and to achieve favorable results, being more
important in some specialties. In addition, medical decision-makers are overloaded with clinical tasks, have an intense work rate and
are subject to a great demand, and are prone to greater tiredness.
In this sense, computer tools can be extremely useful, as can deal
with a lot of information in much less time than decision-makers.
Thus, the existence of a tool that assists them in decision-making
is of crucial importance
This month's community call is part two in a series on Clinical Transformation. The presentations will highlight how Clinical Transformation affects outcomes AND the bottom-line of health care organizations. The presentation will provide a proof point on how Clinical Transformation has a direct Return on Investment (ROI) for both the patient and the provider organization.
This topic is both clinical and administrative in nature and will likely be useful to physicians, nurses and others interested in outcomes, as well as health care CIOs, CFOs and administrators.
Please feel free to forward this invitation to any colleagues or associates who you believe would find this topic of interest or would like to participate in the discussion.
What: Clinical Transformation (Part II)
- Clinical Transformation
- a Blueprint
- in Practice
- Transformation Working Group Update
- Review of status
- Framework for Planning
- Discussion
- Open Project Updates
- OpenVista/GT.M Integration
- CCD/CCR collaboration
- Medsphere.org: Tip of the month
When: March 26, 12:30 - 2pm Pacific
Where: Dial-in: (888) 346-3950 // Participant Code: 1302465
Web conference: http://www.medsphere.com/infinite/
===
The community calls are listed on the Medsphere.org event calendar (http://medsphere.org/community-events/) and we will update each month's call as the agenda is solidified.
Details and Recording available here: http://medsphere.org/blogs/events/2009/03/26/community-call-march-2009
Recent discovered technologies have exposed many new theories and possibilities to improve our standard of living. Medical assistance has been a major research topic in the past, many efforts were put in to simplify the process of following treatment prescriptions. This paper summarizes the work done in developing LoRa driven medical adherence system in order to improve medicine adherence for elderlies. The designed system is composed of two sections; embedded hardware device for the use of patients at home and Web application to manage all patients along with their medicines and keep track of their medicine intake history. LoRa wireless communication technology is used for connecting all embedded devices with a central gateway that manages the network. Hardware and software tests have been conducted and showed great performance in terms of LoRa network range and latency. In short, the proposed system shows promising method of improving medicine adherence.
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.
This document outlines the use of computers in epidemiology and public health. It discusses:
1. Health management information systems which collect and analyze demographic and health data.
2. Developing databases for epidemiological research using tools like Excel, Epi Info and Access.
3. Using statistical software like Epi Info, SPSS and STATA to analyze epidemiological data.
4. Disease surveillance systems using computers to rapidly transmit and monitor health data.
5. Challenges implementing computer systems including structural issues, procedural problems, and constraints in India like fragmented data and lack of infrastructure.
Electrical Testing Lab Services in Dubai.pptxsandeepmetsuae
An electrical testing lab in Dubai plays a crucial role in ensuring the safety and efficiency of electrical systems across various industries. Equipped with state-of-the-art technology and staffed by experienced professionals, these labs conduct comprehensive tests on electrical components, systems, and installations.
Covid-19 Data Analysis and VisualizationIRJET Journal
This document summarizes a research paper that analyzes COVID-19 data using machine learning algorithms. It first introduces the authors and provides an abstract describing the project's goal of gaining insights from COVID-19 data using Python and Tableau visualization tools. It then reviews related work applying models and algorithms to infectious disease data. The methodology section outlines the process used: collecting data from government websites, cleaning the data, performing data visualization, calculating accuracy of different algorithms (logistic regression, KNN, random forest, decision tree), and using the most accurate algorithm to predict if a person is COVID-19 positive based on symptoms.
Cloud Based Covid 19 Testing Management Systemijtsrd
This document describes a cloud-based COVID-19 testing management system. The system allows patients to register online, book appointments for COVID tests, and have samples collected at their homes. Test results are generated automatically and patients can access results by logging into the system. The system is intended to streamline COVID testing processes and reduce burden on patients and testing centers. It discusses how cloud services can help develop such an online system using tools like EC2 instances, security groups, and user data scripts.
Design and development of a fuzzy explainable expert system for a diagnostic ...IJECEIAES
Expert systems have been widely used in medicine to diagnose different diseases. However, these rule-based systems only explain why and how their outcomes are reached. The rules leading to those outcomes are also expressed in a machine language and confronted with the familiar problems of coverage and specificity. This fact prevents procuring expert systems with fully human-understandable explanations. Furthermore, early diagnosis involves a high degree of uncertainty and vagueness which constitutes another challenge to overcome in this study. This paper aims to design and develop a fuzzy explainable expert system for coronavirus disease-2019 (COVID-19) diagnosis that could be incorporated into medical robots. The proposed medical robotic application deduces the likelihood level of contracting COVID-19 from the entered symptoms, the personal information, and the patient's activities. The proposal integrates fuzzy logic to deal with uncertainty and vagueness in diagnosis. Besides, it adopts a hybrid explainable artificial intelligence (XAI) technique to provide different explanation forms. In particular, the textual explanations are generated as rules expressed in a natural language while avoiding coverage and specificity problems. Therefore, the proposal could help overwhelmed hospitals during the epidemic propagation and avoid contamination using a solution with a high level of explicability.
Medic - Artificially Intelligent System for Healthcare Services ...IRJET Journal
This document describes an artificially intelligent system called Medic that aims to provide healthcare services using artificial intelligence technologies. Medic uses natural language processing, fuzzy logic, deep learning and a knowledge base to diagnose diseases from patients' descriptions of their symptoms. It can also recommend medical tests and prescriptions. The system architecture includes interfaces for patients and doctors, a central database, and image recognition and decision making modules. Convolutional neural networks are used for image-based disease identification. The goal of Medic is to make healthcare more accessible and affordable by providing services remotely using artificial intelligence.
Management of patient information trends and challenges in member statesDr Lendy Spires
The document discusses trends and challenges in managing patient information based on findings from the second global survey on eHealth conducted by the WHO Global Observatory for eHealth. It analyzes results related to collection and use of patient data at local, regional, and national levels. Many countries still rely on paper-based systems while use of electronic systems is growing. Electronic systems are used more for aggregated data than individual patient records. Standards adoption is progressing to facilitate data exchange, though low-income countries face challenges developing large-scale electronic medical record systems.
Survey On Machine Learning Based Patient Monitoring Algorithm Using Oxygen Sa...IRJET Journal
This document describes a study on developing a machine learning-based patient monitoring algorithm using oxygen saturation (SpO2) levels. The proposed system would continuously monitor a patient's temperature and SpO2 using IoT devices and sensors. It would then construct a machine learning model to predict patient severity and regularly upload the data to a private server. This would allow doctors to remotely monitor patients' conditions without them needing to stay in the hospital. The system aims to reduce risks to patients' lives and limit healthcare worker exposure by enabling early detection and monitoring of health issues.
Presentation at 2007 Annual Meeting of VA Patient Safety Managers and OfficersNoel Eldridge
This presentation was for 150 or so Dept of VA Patient Safety managers with and for whom I worked at VA Central Office while they worked at the VA Medical Centers and Network offices. The main items of interest are the preliminary work that I was describing from the periphery of the then developing VA MRSA Prevention Program, which was quite successful and led by Dr. Rajiv Jain (and published in NEJM: http://www.nejm.org/doi/full/10.1056/NEJMoa1007474#t=abstract). Also of interest is the wide-ranging work that VA NCPS led on the follow up on an OIG report that identified problems in some of VA's operating rooms. Also of interest is slide 36 where I present some interesting data on VA's reduction in unadjusted inpatient mortality - this hasn't been widely publicized or published to my knowledge. The second to last slide refers to the fact that the day after the meeting I was going to the Grand Canyon and planning to hike to the bottom one day and out the next day. That turned out to be a great experience.
COVID-19 knowledge-based system for diagnosis in Iraq using IoT environmentnooriasukmaningtyas
The importance and benefits of healthcare mobile applications is increasing rapidly, especially when such applications are connected to the internet of things (IoT). This paper describes a smart knowledge-based system (KBS) that helps patients showing symptoms of Influenza verify being infected with Coronavirus, commonly known as COVID-19. In addition to the systems’ diagnostic functionality, it helps these patients get medical assistance fast by notifying medical authorities using the IoT. This system displays patient’s location, phone number, date and time of examination. During the applications’ development, the developers used Twilio, short message service (SMS), WhatsApp, and Google map applications.
Symptom-Based Prediction of COVID-19 using Machine Learning Models with SMOTE...IRJET Journal
The document presents a study that uses machine learning models to predict COVID-19 based on symptom data. The study uses a dataset of 127 COVID-19 cases containing 20 features on symptoms and patient characteristics. Feature selection is applied to identify the most important features for prediction. To address class imbalance in the data, SMOTE oversampling is used. Five machine learning algorithms (Random Forest, SVM, Logistic Regression, Naive Bayes, XGBoost) are trained on the data and evaluated. The Random Forest model combined with SMOTE achieved the highest accuracy of 98% for COVID-19 prediction.
GLI TB Diagnostics Connectivity Guide 2016SystemOne
This document provides an overview of diagnostics connectivity solutions for tuberculosis (TB) programs. It discusses how connectivity solutions can enable remote monitoring of diagnostic devices, automatically send test results to clinicians and health information systems, facilitate inventory management, and enhance disease surveillance and program monitoring. The document also covers the necessary software, hardware, internet connectivity, data security, personnel needs, and budgeting considerations for implementing diagnostics connectivity solutions. Overall, the document presents connectivity solutions as a way for TB programs to improve patient care and management while strengthening laboratory systems.
ADAPTIVE LEARNING EXPERT SYSTEM FOR DIAGNOSIS AND MANAGEMENT OF VIRAL HEPATITISijaia
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted
diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the
uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis
B. In order to develop this system, the knowledge is acquired using both structured and semi-structured
interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and
represented using rule based reasoning techniques. Both forward and backward chaining is used to infer
the rules and provide appropriate advices in the developed expert system. For the purpose of developing
the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with
dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived
knowledge from domain experts adaptively without any help from the knowledge engineer.
Adaptive Learning Expert System for Diagnosis and Management of Viral Hepatitisgerogepatton
Viral hepatitis is the regularly found health problem throughout the world among other easily transmitted diseases, such as tuberculosis, human immune virus, malaria and so on. Among all hepatitis viruses, the uppermost numbers of deaths are result from the long-lasting hepatitis C infection or long-lasting hepatitis B. In order to develop this system, the knowledge is acquired using both structured and semi-structured interviews from internists of St.Paul Hospital. Once the knowledge is acquired, it is modeled and represented using rule based reasoning techniques. Both forward and backward chaining is used to infer the rules and provide appropriate advices in the developed expert system. For the purpose of developing the prototype expert system SWI-prolog editor also used. The proposed system has the ability to adapt with dynamic knowledge by generalizing rules and discover new rules through learning the newly arrived knowledge from domain experts adaptively without any help from the knowledge engineer
Sepsis Prediction Using Machine LearningIRJET Journal
This document summarizes a research paper that used machine learning algorithms to predict sepsis in ICU patients using vital sign and laboratory data. The researchers:
1) Collected data from 36,000 patients including vital signs, lab values, and demographics as features for an MLP classifier model.
2) The top important features for prediction were temperature, oxygen saturation, respiratory rate, and heart rate.
3) The MLP classifier model achieved a log loss of 0.15 and was able to accurately predict sepsis risk from patient data on admission to the ICU.
Early prediction of sepsis using machine learning approaches can help clinicians initiate early treatment and reduce mortality and healthcare costs.
Design and Development of Cold Chain Monitoring SystemLihguong Jang
This document describes the design and development of a cold chain monitoring system for vaccines. The system was created to ensure vaccine safety by strictly monitoring temperature from production to usage and allowing information sharing between all entities involved. It includes modules for vaccine suppliers, manufacturers, logistics providers, medical facilities, and functions for temperature monitoring, emergency reporting, and inspections. The system establishes authority levels and data access controls. It was tested using scenarios involving temperature deviations and ineffective vaccines to demonstrate how the system could quickly identify issues and improve safety oversight of vaccines. The goal is to implement such a system in Taiwan to better manage vaccine quality and trace any problems.
Systematic review of quality standards for medical devices and practice measu...Pubrica
A systematic literature search performed in databases (Medline, Cochrane Library, Scopus, Embase, CRD York), selected journals and websites identified articles describing either a general MDR structure or the development process of specific registries.
Learn More : https://pubrica.com/services/research-services/systematic-review/
Reference: https://bit.ly/3MCXLOK
Why Pubrica:
When you order our services, we promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Bio statistical experts | High-quality Subject Matter Experts.
Contact us:
Web: https://pubrica.com/
Blog: https://pubrica.com/academy/
Email: sales@pubrica.com
WhatsApp : +91 9884350006
United Kingdom: +44-1618186353
Structure and development of a clinical decision support system: application ...komalicarol
Clinical decision requires to infer great, diverse and not suitably
organized quantity of information and having low time to decide.
The therapeutic choice is fundamental to formulate a strategy to
avoid complications and to achieve favorable results, being more
important in some specialties. In addition, medical decision-makers are overloaded with clinical tasks, have an intense work rate and
are subject to a great demand, and are prone to greater tiredness.
In this sense, computer tools can be extremely useful, as can deal
with a lot of information in much less time than decision-makers.
Thus, the existence of a tool that assists them in decision-making
is of crucial importance
This month's community call is part two in a series on Clinical Transformation. The presentations will highlight how Clinical Transformation affects outcomes AND the bottom-line of health care organizations. The presentation will provide a proof point on how Clinical Transformation has a direct Return on Investment (ROI) for both the patient and the provider organization.
This topic is both clinical and administrative in nature and will likely be useful to physicians, nurses and others interested in outcomes, as well as health care CIOs, CFOs and administrators.
Please feel free to forward this invitation to any colleagues or associates who you believe would find this topic of interest or would like to participate in the discussion.
What: Clinical Transformation (Part II)
- Clinical Transformation
- a Blueprint
- in Practice
- Transformation Working Group Update
- Review of status
- Framework for Planning
- Discussion
- Open Project Updates
- OpenVista/GT.M Integration
- CCD/CCR collaboration
- Medsphere.org: Tip of the month
When: March 26, 12:30 - 2pm Pacific
Where: Dial-in: (888) 346-3950 // Participant Code: 1302465
Web conference: http://www.medsphere.com/infinite/
===
The community calls are listed on the Medsphere.org event calendar (http://medsphere.org/community-events/) and we will update each month's call as the agenda is solidified.
Details and Recording available here: http://medsphere.org/blogs/events/2009/03/26/community-call-march-2009
Recent discovered technologies have exposed many new theories and possibilities to improve our standard of living. Medical assistance has been a major research topic in the past, many efforts were put in to simplify the process of following treatment prescriptions. This paper summarizes the work done in developing LoRa driven medical adherence system in order to improve medicine adherence for elderlies. The designed system is composed of two sections; embedded hardware device for the use of patients at home and Web application to manage all patients along with their medicines and keep track of their medicine intake history. LoRa wireless communication technology is used for connecting all embedded devices with a central gateway that manages the network. Hardware and software tests have been conducted and showed great performance in terms of LoRa network range and latency. In short, the proposed system shows promising method of improving medicine adherence.
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.
This document outlines the use of computers in epidemiology and public health. It discusses:
1. Health management information systems which collect and analyze demographic and health data.
2. Developing databases for epidemiological research using tools like Excel, Epi Info and Access.
3. Using statistical software like Epi Info, SPSS and STATA to analyze epidemiological data.
4. Disease surveillance systems using computers to rapidly transmit and monitor health data.
5. Challenges implementing computer systems including structural issues, procedural problems, and constraints in India like fragmented data and lack of infrastructure.
Electrical Testing Lab Services in Dubai.pptxsandeepmetsuae
An electrical testing lab in Dubai plays a crucial role in ensuring the safety and efficiency of electrical systems across various industries. Equipped with state-of-the-art technology and staffed by experienced professionals, these labs conduct comprehensive tests on electrical components, systems, and installations.
Merchants from high-risk industries face significant challenges due to their industry reputation, chargeback, and refund rates. These industries include sectors like gambling, adult entertainment, and CBD products, which often struggle to secure merchant accounts due to increased risks of chargebacks and fraud.
To overcome these difficulties, it is necessary to improve credit scores, reduce chargeback rates, and provide detailed business information to high-risk merchant account providers to enhance credibility.
Regarding security, implementing robust security measures such as secure payment gateways, two-factor authentication, and fraud detection software that utilizes machine learning systems is crucial.
METS Lab SASO Certificate Services in Dubai.pdfsandeepmetsuae
Achieving compliance with the Saudi Standards, Metrology and Quality Organization (SASO) regulations is crucial for businesses aiming to enter the Saudi market. METS Laboratories offers comprehensive SASO certification services designed to help companies meet these stringent standards efficiently. Our expert team provides end-to-end support, from initial product assessments to final certification, ensuring that all regulatory requirements are meticulously met. By leveraging our extensive experience and state-of-the-art testing facilities, businesses can streamline their certification process, avoid costly delays, and gain a competitive edge in the market. Trust METS Laboratories to guide you through every step of achieving SASO compliance seamlessly.
Bridging the Language Gap The Power of Simultaneous Interpretation in RwandaKasuku Translation Ltd
Rwanda is a nation on the rise, fostering international partnerships and economic growth. With this progress comes a growing need for seamless communication across languages. Simultaneous interpretation emerges as a vital tool in this ever-evolving landscape. When seeking the best simultaneous interpretation in Rwanda, Kasuku Translation stands out as a premier choice.
Stay updated on Siddhivinayak Temple events and timings in Houston, TX. Join our spiritual and community gatherings. Visit us now! gaurisiddhivinayak.org
Biomass Briquettes A Sustainable Solution for Energy and Waste Management..pptxECOSTAN Biofuel Pvt Ltd
Biomass briquettes are an innovative and environmentally beneficial alternative to traditional fossil fuels, providing a long-term solution for energy production and waste management. These compact, high-energy density briquettes are made from organic materials such as agricultural wastes, wood chips, and other biomass waste, and are intended to reduce environmental effect while satisfying energy demands efficiently.
Job Vacancies in Norway 🇳🇴
Warehouse Workers for Clothing
2year WORKPERMIT 👍
Salary: €3900-4300 per month (Paid twice a month).
Requirements:
* Duties include quality control of products, order picking, packing goods, and applying stickers and labels.
* Work schedule: 8-10 hours per day, 5 days a week.
Documents 📄
*Adhar
Pan
Photo
Education documents
Basic English**o
Education documents
Basic English**
Photo
Education documents
Basic English**
By refining the layout and replacing furnishings, people can more effectively enjoy themselves in their home environment. If you want to enhance the visual appeal of your home, then residential painting services are at your service. We take responsibility for transforming your dull spaces into vibrant ones. This PPT unveils the difference that professional painters make in elevating the look of your home.
The Fraud Examiner’s Report –
What the Certified Fraud Examiner Should Know
Being a Virtual Training Paper presented at the Association of Certified Fraud Examiners (ACFE) Port Harcourt Chapter Anti-Fraud Training on July 29, 2023.
If you want a spell that is solely about getting your lover back in your arms, this spell has significant energy just to do that for your love life. This spell has the ability to influence your lover to come home no matter what forces are keeping them away. Using my magical native lost love spells, I can bring back your ex-husband or ex-wife to you, if you still love them and want them back.
Even if they have remarried my lost love spells will bring them back and they will love you once again. By requesting this spell; the lost love of your life could be back on their way to you now. This spell does not force love between partners. It works when there is genuine love between the two but for some unforeseen circumstance, you are now apart.
I cast these advanced spells to bring back lost love where I use the supernatural power and forces to reconnect you with one specific person you want back in your existence. Bring back your ex-lover & make them commit to a relationship with you again using bring back lost love spells that will help ex lost lovers forgive each other.
Losing your loved one sometimes can be inevitable but the process of getting your ex love back to you can be extremely very hard. However, that doesn’t mean that you cannot win your ex back any faster. Getting people to understand each other and create the unbreakable bond is the true work of love spells.
Love spells are magically cast with the divine power to make the faded love to re-germinate with the intensive love power to overcome all the challenges.
My effective bring back lost love spells are powerful within 24 hours. Dropping someone you adore is like breaking your heart in two pieces, especially when you are deeply in love with that character. Love is a vital emotion and has power to do the entirety glad and quality, however there comes a time whilst humans are deserted via their loved ones and are deceived, lied, wronged and blamed. Bring back your ex-girlfriend & make them commit to a relationship with you again using bring back lost love spells to make fall back in love with you.
Make your ex-husband to get back with you using bring back lost love spells to make your ex-husband to fall back in love with you & commit to marriage & with you again.
Bring back lost love spells to help ex-lover resolve past difference & forgive each other for past mistakes. Capture his heart & make him yours using love spells.
His powerful lost lover spell works in an effective and fastest way. By using a lover spell by Prof. Balaj, the individuals can bring back lost love. Its essential fascinating powers can bring back lost love, attract new love, or improve an existing relationship. With the right spell and a little faith, individuals can create the lasting and fulfilling relationship everyone has always desired.
Visit https://www.profbalaj.com/love-spells-loves-spells-that-work/ for more info or
Call/WhatsApp +27836633417 NOW FOR GUARANTEED RESULTS
Sustainable Solutions for Chemical Waste Disposal by Summerland Environmental...Summerland Environmental
Welcome to the presentation on Sustainable Solutions for Chemical Waste Disposal by Summerland Environmental. We will explore innovative methods and technologies for eco-friendly waste management.
Top 10 Challenges That Every Web Designer Face on A Daily Basis.pptxe-Definers Technology
In today’s fast-moving digital world, building websites is super important for how well a business does online. But, because things keep changing with technology and what people expect, teams who make websites often run into big problems. These problems can slow down their work and stop them from making really good websites. Let us see what the best website designers in Delhi have to say –
https://www.edtech.in/services/website-designing-development-company-delhi.htm
Understanding Love Compatibility or Synastry: Why It MattersAstroForYou
Love compatibility, often referred to as synastry in astrological terms, is the study of how two individuals’ astrological charts interact with each other.
eBrand Promotion Full Service Digital Agency Company ProfileChimaOrjiOkpi
eBrandpromotion.com is Nigeria’s leading Web Design/development and Digital marketing agency. We’ve helped 600+ clients in 24 countries achieve growth revenue of over $160+ Million USD in 12 Years. Whether you’re a Startup or the Unicorn in your industry, we can help your business/organization grow online. Thinking of taking your business online with a professionally designed world-class website or mobile application? At eBrand, we don’t just design beautiful mobile responsive websites/apps, we can guarantee that you will get tangible results or we refund your money…
Gujar Industries India Pvt. Ltd is a leading manufacturer of X-ray baggage scanners in India. With a strong focus on innovation and quality, the company has established itself as a trusted provider of security solutions for various industries. Their X-ray baggage scanners are designed to meet the highest standards of safety and efficiency, making them ideal for use in airports, government buildings, and other high-security environments. Gujar Industries India Pvt. Ltd is committed to providing cutting-edge technology and reliable products to ensure the safety and security of their customers.
The study compares AMUSE's FDM and MJF 3D printing technologies.pptxAmuse
AMUSE offers cutting-edge HP MJF 3D printing services in India that facilitate the effective creation of challenging designs for all kinds of industries.
https://amuse3d.in/hp-mjf-3d-printing-service/
Forex Copy trading is the mode of trading offering great opportunities to the traders lacking time or in-depth market knowledge, yet willing to use currency trading as a form of investment and to increase their initial funds.
1. A
PROJECT REPORT
ON
“COVID-19 MANAGEMENT SYSTEM”
Submitted in partial fulfilment
for the degree
of
BACHELOR OF COMPUTER APPLICATION (BCA)
Semester VI
by
1) Ms. Naina Sangole
2) Ms. Chetana Nimje
3) Ms. Prachi Dhawale
4) Ms. Sejal Meshram
SADABAI RAISONI WOMEN’S COLLEGE
Affiliated to
S.N.D.T Women’s University, Mumbai.
[2021-2022]
2. ACKNOWLEDGEMENT
With the completion of a report for a project on “Covid-19 Management System'', it
has given us immense pleasure and knowledge. We are sincerely thankful to Mrs. Amina Vali
(Principal, SRWC) and Project Guide, Mrs. Ashwini Ankar who have cooperated with us at
different stages during the preparation of this project.
Our Sincere thanks to staff of I.T Department without whose help it would not have
been possible for us to complete this report.
We would also like to thank the entire library and non-teaching staff for their constant
support while preparing this report.
PROJECTEES
Ms. Naina Sangole
Ms. Chetana Nimje
Ms. Prachi Dhawale
Ms. Sejal Meshram
(BCA FINAL YEAR)
3. CERTIFICATE
This is to certify that the project report entitled “Covid-19 Management System”
submitted by [Ms. Naina Sangole, Ms. Chetana Nimje, Ms. Prachi Dhawale, Ms. Sejal
Meshram] as a partial fulfilment for the requirement of BCA III year examination of the
Shreemati Nathibai Damodar Thackersey (S.N.D.T) Women’s University, Mumbai for the
academic session 2021-2022 is an original software project carried out under the supervision
and guidance of
Mrs. Ashwini Ankar has undergone the requisite duration as prescribed by the Shreemati
Nathibai Damodar Thackersey (S.N.D.T) Women’s University, Mumbai for the project work.
PROJECT GUIDE HEAD/PRINCIPAL
Signature: Signature:
Name: Mrs. Ashwini Ankar Name: Mrs. Amina Vali
Date: Date:
College Seal
INTERNAL EXAMINER EXTERNAL EXAMINER
Signature: Signature:
Name: Name:
Date: Date:
4. CONTENTS
SR.NO TOPICS PAGE NO
1. Abstract 1
2. Introduction 2
3. Literature Survey 3
3.1 Survey Existing System 4
3.2 Limitation existing system or Research gap 5
3.3 Problem Statement and Objectives 6
3.4 Scope 7
4. Proposed System 8
4.1 Analysis / Flowchart 9
4.2 Details of Hardware and Software 10 – 11
4.3 Design Details 12 – 13
4.4 Methodology 14
5. Screenshots 15 – 23
6. Coding 24 – 119
7. Conclusion 120
8. Bibliography 121
5. 1
Abstract
The COVID-19 pandemic has broadly disrupted biomedical treatment and research including
non-invasive brain stimulation (NIBS). Moreover, the rapid onset of societal disruption and
evolving regulatory restrictions may not have allowed for systematic planning of how clinical
and research work may continue throughout the pandemic or be restarted as restrictions are
abated. The urgency to provide and develop NIBS as an intervention for diverse neurological
and mental health indications, and as a catalyst of fundamental brain research, is not
dampened by the parallel efforts to address the most life-threatening aspects of COVID-19;
rather in many cases the need for NIBS is heightened including the potential to mitigate
mental health consequences related to COVID-19.
To facilitate the re-establishment of access to NIBS clinical services and research operations
during the current COVID-19 pandemic and possible future outbreaks, we develop and
discuss a framework for balancing the importance of NIBS operations with safety
considerations, while addressing the needs of all stakeholders. We focus on Transcranial
Magnetic Stimulation (TMS) and low intensity transcranial Electrical Stimulation (tES) -
including transcranial Direct Current Stimulation (tDCS) and transcranial Alternating Current
Stimulation (tACS). Methods The present consensus paper provides guidelines and good
practices for managing and reopening NIBS clinics and laboratories through the immediate
and ongoing stages of COVID-19.
The document reflects the analysis of experts with domain relevant expertise spanning NIBS
technology, clinical services, and basic and clinical research – with an international
perspective. We outline regulatory aspects, human resources, NIBS optimization, as well as
accommodations for specific demographics. Results A model based on three phases (early
COVID-19 impact, current practices, and future preparation) with an 11-step checklist
(spanning removing or streamlining in-person protocols, incorporating telemedicine, and
addressing COVID-19-associated adverse events) is proposed. Recommendations on
implementing social distancing and sterilization of NIBS related equipment, specific
considerations of COVID-19 positive populations including mental health comorbidities, as
well as considerations regarding regulatory and human resource in the era of COVID-19 are
outlined. We discuss COVID-19 considerations specifically for clinical (sub-)populations
including pediatric, stroke, addiction, and the elderly.
6. 2
INTRODUCTION
Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered
coronavirus. Most people who fall sick with COVID-19 will experience mild to moderate
symptoms and recover without special treatment.
Covid-19 management system is a project to track covid testing and users can register for
vaccines in one click. You can track corona cases in one click. Get covid report in one click.
As We have mentioned above, this Covid 19 Management System has 3 modules and each
of these has different restrictions. The Administrator Side is the admin panel of the system
where the management can manage the records in the system. The Admin panel requires an
admin credential in order to access the features and functions of the said module. The User
Module is the side of the system where the individuals can register their information and
schedule their testing time slot. On Public Website, this module mostly contains static
information about the purpose of the application and other details.
COVID-19 is a biological challenge, but as with so many things, materials science and
engineering can play a significant role in defeating it. The TMS COVID-19 Materials Needs
Exchange strives to connect organizations and programs on the front lines of the COVID-19
pandemic with TMS members who can render materials or manufacturing assistance,
resources, and/or expertise.
COVID-19 was first recognized in December 2019 and within months evolved into a global
pandemic declared by the World Health Organization (WHO) in March 2020. To avert its
rapid spread, country-specific restrictions have been introduced spanning strict
social/physical distancing measures, stay-at-home orders and even lockdowns, workplace
closings and furloughs/layoffs, postponing of elective procedures in medical centers to
preserve medical resources, suspending many in-person medical consultation and clinic
visits, or substituting these face-to-face consultations with remote interventions, e.g.
telecommunications.
Rapid collection and testing of appropriate specimens from patients meeting the suspect case
definition for COVID-19 is a priority for clinical management and outbreak control and
should be guided by a laboratory expert. Suspect cases should be screened for the virus with
nucleic acid amplification tests (NAAT), such as RT-PCR.
7. 3
LITERATURE SURVEY
The survey addressing the impact of the COVID-19 pandemic was sent to institutions applying
NIBS (research laboratories and NIBS clinics) across the world. Replies were received from
29 institutions representing 17 countries.
These responses thus reflect the “situation on the ground” at the time of assessment with
ongoing remediation methods addressed later in this paper.
Mainly depending on the national and local restrictions in response to the COVID-19 outbreak
and the nature of protocols (e.g., type of technology, trial stage, clinical population), there were
substantial discrepancies in the extent to which neuromodulation operations were disrupted.
A systematic literature review was conducted using the Preferred Reporting Items for
Systematic Reviews and Meta-Analyses – PRISMA (Moher et al., 2009).
8. 4
SURVEY EXISTING SYSTEM
The existing Covid-19 testing, if you want to test your covid symptoms because of covid you
have to move from one place to another place in a city. We have to look for transportation, But
the drawback of the transportation system is that you cannot decide the time limit and major
concern is the weight for transportation and also the safety in this covid situation. If we want
to check the report immediately, we can use this way.
● Using manual lab services, we have to go to the lab physically in this scenario. It
requires more time & more calculation.
● In lab services manually, the prices of testing is fixed and it is dangerous in covid
peak seasons.
● In this service, you can take the report in one click and also you can book the testing
as per your needs.
9. 5
LIMITATION EXISTING SYSTEM OR RESEARCH GAP
As we have checked that people had to visit labs for covid test and for collecting reports. Some
people travel for distance for covid test, due to all these circumstances we have created this
project. The project titled ‘COVID-19 MANAGEMENT SYSTEM’ is developed by the health
services and direction and with their help. The system is tested and the performance of the
system is found to be acceptable.
All the necessary output is created. The system is found to be user-friendly with help messages
for the staff and admin.
The system was implemented successfully. The manpower and working hours needed to
operate the system was less and it was seen to be more secure. Thus, the Project was completed
successfully.
10. 6
PROBLEM STATEMENT AND OBJECTIVES
This general Covid-19 management system site program will help many people who want to
take the RT-PCR test. This is a very helpful project.
1. Save time on manpower tasks
2. Less manpower
3. Increase your online visibility
4. Implement an effective vaccine management
5. Manage distribution functions
6. Increase safety
Accurate reports of covid-19
11. 7
SCOPE
It is still mature and fully enthusiastic. Any requirements, this project is completed but still,
they want to update and modify some modules. We are always thinking about association
requirements also growing day by day.
We always want to implement something more. This project is completed when you watch, but
we want to implement more things.
⮚ Online Chat
⮚ Overseas Service
⮚ Service Request On chat
⮚ Extending geographical research
⮚ More Safety
12. 8
PROPOSED SYSTEM
Our corona warrior system will help you to overcome all the above problems. This System will
give the assurity to customers that their vaccination can be done within the specific time slots
according to the distance of location. This system is not concerned with the weight of the
person. This system is quick and can be used in fast cases, for example if you want to get a
vaccine you can register on this website.
FEASIBILITY STUDY:
1. Technical Feasibility Study: The System is Technically feasible because here we are
using PHP platform / MySQL database which is free to use even for commercial
purposes. From the user’s point of view, it is feasible because it can fulfill users’
requirements and maintain their records and additional features like deciding specific
time slots are also available.
2. Operational Feasibility Study: Operational Feasibility is the measure of how well the
proposed system solves the problem and specifies the requirements in system
development. Our System is Operational Feasibility because it is admin-based software.
Admin will get a multiple task where She or He can authority that creates admin,
Registering Customer, tracking etc. admin gets a single module to do these operations.
3. Economical Feasibility Study: The purpose of the Economic Feasibility is to
demonstrate the net benefit of the proposed system. Our system is economically feasible
as the basic amount will be decided by the system depending on distance and the admin
will decide the timeslot and according to that. It is Admin-Based system so there is no
problem with additional charges, Customers just need to book the slot with the location
where he /she wants to give the covid sample test. Which they want to deliver at a
particular place and they have to give only minimum charges.
14. 10
DETAILS OF HARDWARE AND SOFTWARE
Front End:
PHP: - PHP is a server-side scripting language designed for web development but also used
as a general-purpose programming language. While PHP originally stood for Personal Home
Page, it now stands for PHP: Hypertext Preprocessor, a recursive backronym code is
interpreted by a web server with a PHP processor module, which generates the resulting web
page: PHP commands can be embedded directly into an HTML source document rather than
calling an external file to process data.
HTML: - HTML or HyperText Markup Language is the main markup language for creating
web pages and other information that can be displayed in a web browser. HTML tags most
commonly come in pairs like and, although some tags represent empty elements and so are
unpaired, for example Error! Filename not specified. The first tag in a pair is the start tag,
and the second tag is the end tag (they are also called opening tags and closing tags).
BACK END:
MYSQL: - MySQL ("My S-Q-L", officially, but also called "My Sequel") is (as of July
2013) the world's second most widely used open-source relational database management
system (RDBMS). LAMP is an acronym for "Linux, Apache, MySQL, Perl/PHP/Python."
Applications which use MySQL databases include: TYPO3, MODx, Joomla, WordPress,
phpBB, MyBB, Drupal and other software. MySQL is also used in many high-profile, large-
scale websites, including Wikipedia, Google (though not for searches), Facebook, Twitter,
Flickr, and YouTube.
Technology:
● CSS: - CSS is a cascading style sheet which is used to give a designer look at HTML
using the external file.
● Javascript: - Javascript is used for client-side scripting which can help in using
validation on the website and many more other functions.
15. 11
● XAMPP: - XAMPP is a free and open-source cross-platform web server solution stack
package developed by Apache Friends, consisting mainly of the Apache HTTP
Server, MariaDB database, and interpreters for scripts written in the PHP and Perl
programming languages.
● jQuery: - jQuery is a fast and concise JavaScript library. jQuery simplifies HTML
document traversing, event handling, animating, and Ajax interactions for Rapid Web
Development.
● Bootstrap: -Bootstrap themes also feature various UI components and page. Layouts
that can be employed to create websites. You can think of them as website templates
created with Bootstrap in mind.
[ Hardware Requirement]: -
CPU: Intel (R) Core (TM) i5 CPU M 520 @2.40GHz
Video: CPU built - in graphics {LCD / LED / TFT etc.}
Memory: 2.0 GB (2.0 GB x 1 ) RAM
HDD: 160 GB
Disk Drive: UGB portable
Input / Output: Multimedia mouse and Keyboard
16. 12
DESIGN DETAILS
An important job of a system analyst is to make sure that the new design is implemented and
established standards. The implementation simply means conversion of new or revised system
design into an operational one.
Implementation of new system involved following task:
● IMPLEMENTATION: Implementation is activity considered as conversion of old
system into new system. The term system implementation is defined as the conversion
of design and coded system into the actual operation. This new system gradually
replaces the old system with the new one. Part by part the old system phased out and
new system Part by part phased in the result produced by each part of new system is
compared against the result of new system, errors are found out and removed once the
confidence is developed in a particular part of the new system, that part of the new
system is phased in and corresponding part of the old system is phased out. This method
is continuing for each and every part of the new system. The new system is slowly
phased in with the old system and slowly phased out.
● EVALUATION: After the implementation stage another stage in project development
is evaluation of the project. After keeping in working condition for some time all the
errors that might occur in program execution have shown up. The programmers need
to correct them so that the same errors are not repeated again and become program user-
friendly. 58 Maintenance Definitions and context Software maintenance sustains the
software product throughout its life cycle Modification requests are logged and tracked,
the impact of proposed changes determined, code is modified, testing is conducted, and
a new version of the software products released. Training is provided to users .Software
maintenance is the modification of a software product after delivery to correct faults,
to improve performance or other attributes, or to adapt the product to a modified
environment.
● THE SOFTWARE MAINTENANCE CONTEXT: Existing software - Software -
Modified software. In software engineering, software maintenance is the process of
enhancing and optimizing deployed software (software release),, as well as remedying
defects. Software maintenance is one the phases in the software development process,
and follows deployment of the software into the field. The software maintenance phase
17. 13
involves changes to the software in order to correct defects and deficiencies found
during field usage as well as the addition of new functionality to improve the software
usability and applicability. Software maintenance involves a number of specific
techniques. One technique is static slicing, which is used to identify all the program
code that can modify some variable. It is generally useful in refractory program code
and was specifically useful in assuring Y2K compliance. The software maintenance
phase is an explicit part of the waterfall model of the software development process
which was developed during the structured programming movement of computer
programming. The other major model, the spiral model developed during the object-
oriented movement of software engineering makes no explicit mention of a
maintenance phase. Nevertheless, this activity is notable, considering the fact that two-
thirds of a software system's lifetime cost involves maintenance. In a formal software
development environment, the developing organization or team will have some
mechanisms to document and track defects and deficiencies. Software just like most
other typically released with a known set of defects and deficiencies. The software is
released with the issue because the development organization decides the utility and
value of the software at a particular level of quality over weighs the impact of known
defects and deficiencies. The known issues are normally documented in a letter of
operational considerations or release notes so that the user of the software will be able
to work around the known issues and will know when the use of the software would be
inappropriate for particular tasks. With the release of the software, other undocumented
defects and deficiencies will be discovered by the users of the software. As these issues
are reported into the development organization, they will be entered into the defect
tracking system. The people involved in the software maintenance are expected to work
on these known issues, address them, and prepare for a new release of the software,
known as a maintenance release, which will address the documented issue.
18. 14
METHODOLOGY
The project titled ‘COVID-19 MANAGEMENT SYSTEM’ was developed by the health
services and direction and with their help. The system was tested and the performance of the
system was found to be acceptable.
All the necessary output was created. The system was found to be user-friendly with help
messages for the staff and admin.
The system was implemented successfully. The manpower and working hours needed to
operate the system was less and it was seen to be more secure. Thus, the Project was completed
successfully.
● Admin Panel
● Corona Tracker
● Testing Management
● Testing Details
● Track Report
● Information about Covid
34. 30
</li>
</ul>
</div>
</div>
</nav>
<header class="bg-info text-white">
<div class="container text-center">
<h1>COVID19 Warriors</h1>
<p class="lead">COVID19 - Testing Management System</p>
</div>
</header>
<section id="about">
<div class="container">
<div class="row">
<div class="col-lg-8 mx-auto" >
<h2>About this page</h2>
<p class="lead">Coronavirus disease (COVID-19) is an infectious disease caused by a
newly discovered coronavirus. Most people infected with the COVID-19, virus will experience
mild to moderate, respiratory illness & recover without requiring special treatment. Older
people and those with underlying medical problem like cardiovascular disease.</p>
<p class="lead">The COVID-19 virus spread primarily through droplet of saliva or
discharge from the nose when an infected person coughs or sneezes so it’s important that you
also practice respiratory etiquette.</p>
</div>
35. 31
</div>
</div>
</section>
<section id="services" class="bg-light">
<div class="container">
<div class="row">
<div class="col-lg-8 mx-auto">
<h2>Covid-19 Symptoms</h2>
<hr />
<p><strong>Hight Fever 2-14 days!</strong><br />
Reported illnesses have ranged from mild symptoms to severe illness and death</p>
<hr />
<p><strong>Dry Cough 2-14 days!</strong><br />
Reported illnesses have ranged from mild symptoms to severe illness and death</p>
<hr />
<p><strong>Shortness of breath!</strong><br />
Reported illnesses have ranged from mild symptoms to severe illness and death</p>
</div>
</div>
</div>
</section>
<section id="contact">
<div class="container">
44. 40
$lang_file =
__DIR__.DIRECTORY_SEPARATOR.'lang'.DIRECTORY_SEPARATOR.$this-
>lang.'.php';
$messages = require $lang_file;
if ($validation_methods_errors = self::$validation_methods_errors) {
$messages = array_merge($messages, $validation_methods_errors);
}
return $messages;
}
/**
* Process the validation errors and return human readable error messages.
*
* @param bool $convert_to_string = false
* @param string $field_class
* @param string $error_class
*
* @return array
* @return string
*/
public function get_readable_errors($convert_to_string = false, $field_class = 'gump-field',
$error_class = 'gump-error-message')
{
45. 41
if (empty($this->errors)) {
return ($convert_to_string) ? null : array();
}
$resp = array();
// Error messages
$messages = $this->get_messages();
foreach ($this->errors as $e) {
$field = ucwords(str_replace($this->fieldCharsToRemove, chr(32), $e['field']));
$param = $e['param'];
// Let's fetch explicit field names if they exist
if (array_key_exists($e['field'], self::$fields)) {
$field = self::$fields[$e['field']];
// If param is a field (i.e. equalsfield validator)
if (array_key_exists($param, self::$fields)) {
$param = self::$fields[$e['param']];
}
}
// Messages
46. 42
if (isset($messages[$e['rule']])) {
if (is_array($param)) {
$param = implode(', ', $param);
}
$message = str_replace('{param}', $param, str_replace('{field}', '<span
class="'.$field_class.'">'.$field.'</span>', $messages[$e['rule']]));
$resp[] = $message;
} else {
throw new Exception ('Rule "'.$e['rule'].'" does not have an error message');
}
}
if (!$convert_to_string) {
return $resp;
} else {
$buffer = '';
foreach ($resp as $s) {
$buffer .= "<span class="$error_class">$s</span>";
}
return $buffer;
}
}
/**
47. 43
* Process the validation errors and return an array of errors with field names as keys.
*
* @param $convert_to_string
*
* @return array | null (if empty)
*/
public function get_errors_array($convert_to_string = null)
{
if (empty($this->errors)) {
return ($convert_to_string) ? null : array();
}
$resp = array();
// Error messages
$messages = $this->get_messages();
foreach ($this->errors as $e)
{
$field = ucwords(str_replace(array('_', '-'), chr(32), $e['field']));
$param = $e['param'];
// Let's fetch explicit field names if they exist
48. 44
if (array_key_exists($e['field'], self::$fields)) {
$field = self::$fields[$e['field']];
// If param is a field (i.e. equalsfield validator)
if (array_key_exists($param, self::$fields)) {
$param = self::$fields[$e['param']];
}
}
// Messages
if (isset($messages[$e['rule']])) {
// Show first validation error and don't allow to be overwritten
if (!isset($resp[$e['field']])) {
if (is_array($param)) {
$param = implode(', ', $param);
}
$message = str_replace('{param}', $param, str_replace('{field}', $field,
$messages[$e['rule']]));
$resp[$e['field']] = $message;
}
} else {
throw new Exception ('Rule "'.$e['rule'].'" does not have an error message');
}
49. 45
}
return $resp;
}
/**
* Filter the input data according to the specified filter set.
*
* @param mixed $input
* @param array $filterset
*
* @throws Exception
*
* @return mixed
*
* @throws Exception
*/
public function filter(array $input, array $filterset)
{
foreach ($filterset as $field => $filters) {
if (!array_key_exists($field, $input)) {
continue;
}
61. 57
'field' => $field,
'value' => $value,
'rule' => __FUNCTION__,
'param' => $param,
);
}
/**
* Verify that a value is contained within the pre-defined value set.
* OUTPUT: will NOT show the list of values.
*
* Usage: '<index>' => 'contains_list,value;value;value'
*
* @param string $field
* @param array $input
*
* @return mixed
*/
protected function validate_contains_list($field, $input, $param = null)
{
if (!isset($input[$field]) || empty($input[$field])) {
return;
}
62. 58
$param = trim(strtolower($param));
$value = trim(strtolower($input[$field]));
$param = explode(';', $param);
// consider: in_array(strtolower($value), array_map('strtolower', $param)
if (in_array($value, $param)) { // valid, return nothing
return;
} else {
return array(
'field' => $field,
'value' => $value,
'rule' => __FUNCTION__,
'param' => $param,
);
}
}
/**
* Verify that a value is NOT contained within the pre-defined value set.
63. 59
* OUTPUT: will NOT show the list of values.
*
* Usage: '<index>' => 'doesnt_contain_list,value;value;value'
*
* @param string $field
* @param array $input
*
* @return mixed
*/
protected function validate_doesnt_contain_list($field, $input, $param = null)
{
if (!isset($input[$field]) || empty($input[$field])) {
return;
}
$param = trim(strtolower($param));
$value = trim(strtolower($input[$field]));
$param = explode(';', $param);
if (!in_array($value, $param)) { // valid, return nothing
return;
113. 109
* Check if an input is an array and if the size is more or equal to a specific value.
*
* Usage: '<index>' => 'valid_array_size_greater,1'
*
* @param string $field
* @param array $input
*
* @return mixed
*/
protected function validate_valid_array_size_greater($field, $input, $param = null)
{
if (!isset($input[$field]) || empty($input[$field])) {
return;
}
if (!is_array($input[$field]) || sizeof($input[$field]) < (int)$param) {
return array(
'field' => $field,
'value' => $input[$field],
'rule' => __FUNCTION__,
'param' => $param,
);
}
114. 110
}
/**
* Check if an input is an array and if the size is less or equal to a specific value.
*
* Usage: '<index>' => 'valid_array_size_lesser,1'
*
* @param string $field
* @param array $input
*
* @return mixed
*/
protected function validate_valid_array_size_lesser($field, $input, $param = null)
{
if (!isset($input[$field]) || empty($input[$field])) {
return;
}
if (!is_array($input[$field]) || sizeof($input[$field]) > (int)$param) {
return array(
'field' => $field,
'value' => $input[$field],
'rule' => __FUNCTION__,
115. 111
'param' => $param,
);
}
}
/**
* Check if an input is an array and if the size is equal to a specific value.
*
* Usage: '<index>' => 'valid_array_size_equal,1'
*
* @param string $field
* @param array $input
*
* @return mixed
*/
protected function validate_valid_array_size_equal($field, $input, $param = null)
{
if (!isset($input[$field]) || empty($input[$field])) {
return;
}
if (!is_array($input[$field]) || sizeof($input[$field]) == (int)$param) {
return array(
'field' => $field,
'value' => $input[$field],
'rule' => __FUNCTION__,
'param' => $param,
);
}
116. 112
}
}
ADMIN PANEL
<?php include 'includes/connection.php';?>
<?php include 'includes/header.php';?>
<?php include 'includes/navbar.php';?>
<?php
if (isset($_POST['recover'])) {
$email = mysqli_real_escape_string($conn , $_POST['email']);
if (filter_var($email, FILTER_VALIDATE_EMAIL)) {
$query = "SELECT email FROM users WHERE email = '$email'";
$run = mysqli_query($conn , $query) or die (mysqli_error($conn) );
if (mysqli_num_rows($run) > 0) {
function generateRandomString($length = 5) {
return
substr(str_shuffle("0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRST
UVWXYZ"), 0, $length);
}
$token_tmp = generateRandomString();
$token = md5($token_tmp);
117. 113
$url = $_SERVER['REQUEST_URI'];
$parts = explode('/',$url);
$dir = $_SERVER['SERVER_NAME'];
for ($i = 0; $i < count($parts) - 1; $i++) {
$dir .= $parts[$i] . "/";
}
require 'PHPMailer/PHPMailerAutoload.php';
$mail = new PHPMailer;
$mail->isSMTP(); // Set mailer to use SMTP
$mail->Host = 'smtp.gmail.com'; // Specify main and backup SMTP servers
$mail->SMTPAuth = true; // Enable SMTP authentication
$mail->Username = 'collegenotesgallery@gmail.com'; // SMTP username
$mail->Password = 'collegegallery'; // SMTP password
$mail->SMTPSecure = 'tls'; // Enable TLS encryption, `ssl` also accepted
$mail->Port = 587; // TCP port to connect to
$mail->setFrom('collegenotesgallery@gmail.com', 'Admin');
$mail->addReplyTo('collegenotesgallery@gmail.com', 'Admin');
$mail->addAddress($email);
$mail->isHTML(true); // Set email format to HTML
118. 114
$bodyContent = '<h1>Recover Password Link: </h1>';
$bodyContent .= 'http://' . $dir . 'verifytoken.php?token='.$token;
$mail->Subject = 'Email from collegenotesgallery ';
$mail->Body = $bodyContent;
$query2 = "UPDATE users set token = '$token' WHERE email = '$email'";
$run = mysqli_query($conn , $query2) or die(mysqli_error($conn));
$count = mysqli_affected_rows($conn);
if($mail->send() && ($count > 0)) {
echo "<center> <font color = 'green' >Email with recover password link has been sent
</font><center> " ;
} else {
echo "<center> <font color = 'red' >'Message could not be sent.'</font><center> ";
echo "<center> <font color = 'red' >'Mailer Error: ' . $mail->ErrorInfo </font><center> ";
}
}
else {
echo "<center> <font color = 'red' > Entered email does not match to any record
</font><center> ";
}
124. 120
CONCLUSION
The project titled ‘CORONA WARRIORS’ was developed by the health services and direction
and with their help. The system was tested and the performance of the system was found to be
acceptable.
All the necessary output was created. The system was found to be user-friendly with help
messages for the staff and admin.
The system was implemented successfully. The manpower and working hours needed to
operate the system was less and it was seen to be more secure. Thus, the Project was completed
successfully.
125. 121
BIBLIOGRAPHY
Books:
1. HTML & CSS: Design and Build Websites by Jon Duckett
2. Learning PHP, MySQL, JavaScript, CSS & HTML5: A Step-by-Step Guide to Creating
Dynamic Websites by Robin Nixon
3. Head First HTML with CSS & XHTML by Elisabeth Freeman and Eric Freeman
4. PHP & MySQL: Server-side Web Development by Jon Duckett
5. CSS Secrets: Better Solutions to Everyday Web Design Problems by Lea Vero
Links:
1. https://www.w3schools.com/html/
2. https://html.com/
3. https://www.tutorialspoint.com/php/index.htm
4. https://www.codecademy.com/learn/learn-php