Applicability of ML-IoT in Smart Healthcare Systems: Challenges, Solutions & Future Direction

In today's world, as population is at high peak and due to changing life style of people, individuals are suffering from various chronic disease. With shift towards modern methodology, involvement of human efforts has decreased, as know a day's people need to finish particular amount of task within few hours and with less effort. No doubt technology has made less intervention of human but it has certain limitations too. Due to less physical involvement, humans are more prone to diseases. Internet of things (IoT) plays a very crucial role in health care sector. Using various sensors, it become possible to trace the medical health condition of the human, and a message can be forwarded to nearby hospitals which helps the patients with ease. In this paper, three different diseases like heart disease, diabetes and novel COVID-19 are discussed where different machine learning algorithms are reviewed with involvement of IoT sensors.