Using Health Sensors, Internet of Things (IoT), and Machine Learning to Determine the Potential Dangers Older People Pose to Society

Because it has the potential to minimise the issues that are today encountered by the healthcare system, the Internet of Things (IoT) has gained a lot of attention over the past few years as a result of the fact that it has received a lot of attention over the last few years. The ever-increasing prevalence of chronic diseases, on the one hand, and the continuous growth of the human population, on the other, have directly contributed to the significant amount of stress that has been placed on the health and fitness gadget. Despite the fact that there are a great number of issues in this field that need to be researched with a high level of seriousness, the medical care industry's inability to maintain standards has hampered all of this research. This is despite the fact that standards need to be maintained in the medical care business. The primary objective of this study is to determine the risk level of people of advanced age who are experiencing cardiac problems and who are staying at home when there is no one else around to take care of them. Specifically, this research will look at people who are staying at home when there is no one else around to look after them. This study will focus specifically on persons who are remaining at home when there is no one else there to care for them and will examine their circumstances. If anything were to happen during that period, nobody would be there to help him or her in any manner if it did take place. If it did take place, nobody would be there. As a consequence of this, our approach offers a contribution to the direct monitoring of the specifics of afflicted individuals' health at this precise moment. These specifics include the pulse rates of people, the temperature rates of humans, and a variety of other similar rates. If hospitals or administrators become aware of the situation and are able to grasp it, preventative measures may be taken in order to reduce the overall number of individuals who wind up passing away as a consequence of it. In addition to this, a computerised analytic approach will be used in order to evaluate the degree to which victims are exposed to danger.