Real time Cloud Computing Based COVID-19 Health Monitoring System using IOT with integration of Machine Learning Approach to Create Safety Environment

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P. Dileep, Maanasa Thogaru

Abstract

we propose a System that would enable everyone to have access to Personal Health Care Companion. Such that it helps individuals to perform health check at regular intervals and produce dynamic health reports on the health related problems that individuals may face. Health care field has a vast amount of data, for processing those data we have used some of the Machine Learning Algorithms and detected the presence of Disease. Sound health is necessary to do all our day to day works with the fullest hope. Nowadays all people are having more health- conscious than in the past years. Because of these reasons, there are different types of health check- ups, monitoring clinics are evolved, and they do a lot of monitoring processes like daily, monthly,and master check-ups. To provide multiple services, options, and facilities to their clients the technologies play a vital role in the currentera.


. Our System is built to predict the presence of four major diseases such as Heart Disease and Chronic Kidney Disease using Sequential Neural Network Model, Diabetes using K-Nearest Neighbors Classification Model, and skin Cancer Detection using Convolution Neural Network Model. There are several IoT enabled sensors available to sense the patient complete details about a particular person's behavior, human anatomy, and physiology. This will lead the Big data. The Data gained over the sensors are uploaded to the internet, and connected to the cloud server. The affected person records could be saved in the web server and physicians can get right of entry to the data anywhere in the world. Any un expected variation in the data of the patient who is using the health care system, in evitable the data of the patient will be uploaded to the concerned doctor with immediate notification. This type of health care system will be most useful in rural and remote areas. In this chapter, discuss the Machine learning techniques which are important to the build analysis models. Then how this model is integrated with IoT Technology and provides accurate data of individual person and also discusses the Cardio-vascular problems based on real-time inputdata.

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How to Cite
P. Dileep, Maanasa Thogaru. (2021). Real time Cloud Computing Based COVID-19 Health Monitoring System using IOT with integration of Machine Learning Approach to Create Safety Environment . Annals of the Romanian Society for Cell Biology, 2076 - 2086. Retrieved from http://annalsofrscb.ro/index.php/journal/article/view/326
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