Review: IoT Based Machine Learning Techniques for Healthcare Applications

摘要

There are three technologies that highly contributed to the development of our life. Those technologies are Internet of Things (IoT), Machine Learning (ML) and Block Chain. Recently, IoT and ML played important role in healthcare monitoring management through self-management. Self-management resulted in effective treatment in a lower cost. The IoT uses sensors to monitor the patients’ health and collect data from patients, transfer these data to ML for extraction, classification and mining, and use the pure data for prediction of the diseases. This facilitates communication between doctor and patient through wearable technologies. The objective is to provide real-time monitoring of chronic diseases such as heart failure, asthma, diabetes, heart attacks etc. So we present a full review of the IoT based ML techniques for healthcare applications.