IoT based Smart Health care system monitoring using Machine Learning Techniques

IoT is beneficial in healthcare, where it has helped increase the quality of treatment. As the number of people with health problems rises, the patients are also more, it is more essential than ever to provide health care to everyone. People today are so preoccupied with their life that they neglect their health. The emphasis of this paper is on elderly healthcare since the biggest concern of parents is that their parents may get ill. They were in danger of losing their elders at any moment. Then, an experimental setup capable of monitoring the patient's health is designed and constructed. A commercial gadget has been discovered in this evaluation. Sensors monitors real-time data such as heart rate, oxygen levels, ECG, and so on. If something occurs to the patients, information will be sent to the smartphone app, which has already been downloaded. Then, as an example, do a field test for the information collected from the elderly patients is evaluated and delivered to a mobile device through a base station. Machine learning algorithm like random forest Algorithm is used to make predictions.