Cloud-Centric IOT based Disease Diagnosis in Smart E-Health Prediction System

Abstract

            IoT plays an important role in Healthcare system. The patients those who are undergoing medical treatment in the hospital are non-ambulatory and it would be useful for them if there is disease prediction system. IOT is the latest trends used for Healthcare system. IOT device enables users to reduce the health related risks and healthcare costs by collect the patients details and analyses data to sharing data stream using cloud computing. This system to propose a cloud based approach for an automated disease predictive System that uses sensors to measure various parameters of the patient like blood pressure, heart beat rate, and temperature etc. Here, in this project to predict the disease by getting the data from sensors and sends the data through cloud to the doctor. Using this proposal to save the time of both doctor and patient to taking decision for ensuing medical treatment quickly and it access at anytime and anywhere them requisite. The patient can get proper and efficient medical treatment by collecting data through monitor the current status of patient stored by the cloud using IOT. To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT), and the internet-of-things (IoT). The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications.