Open AccessAdvanced Machine Learning model for Health Monitoring in IoT System
Author(s) -
Tanmayee Tushar Parbat
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.38502
Subject(s) - computer science , cloud computing , set (abstract data type) , computer security , health examination , warning system , internet of things , microcomputer , artificial intelligence , machine learning , deep learning , medicine , telecommunications , operating system , chip , programming language
Health issues are 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, we have developed a set of principles to address and, to some extent, solve the issues outlined above. We continuously monitor the vital organs in our system; communicate data to cloud-based doctors, and alert patients to potential dangers. We designed 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 a combination of deep learning. If the doctor suspects a health problem, he or she may issue a warning via our device after the examination is completed. Our proposed approach work Health Monitoring in IoT System Keywords: machine Learning, Health Monitoring, IoT System, Deep Learning