IoT Based Health Care Data Monitoring Using Machine Learning

Abstract

Health issues aie also concealed by a lack of health precautions on a daily basis. These issues frequently constitute a serious threat to public safety, which is frequently overlooked until it is too late. As a result, a set of principles has been developed to address and, to some extent, solve the issues outlined above. The vital organs in our system is continuously monitored, data are communicated to cloud-based doctors, and patients are alerted to potential dangers. An IoT system that connects several sensors to a microcomputer and sends collected data to a cloud server for Modified Stochastic Gradient Descent (SGD) Algorithm with combination of deep learning has been designed. If the doctor suspects a health pro blem, he or she may issue a warning via the device after the examination is completed. This proposed approach work as Health Monitoring in IoT System.