Automated Health Assistance based on IOT and Machine Learning

The past few decades have witnessed a significant growth in the field of medical care and health facilities. People from around the globe raised their living standards in terms of sanitization skills and caring their physical system. However, the risk of chronic diseases is profound these days than the previous years. The automated IOT based monitoring systems for health of a chronic patient is the need of an hour. The advancements in the digital world has added few years in the lifespan of human. Having said that, technology is not a tool to keep human alive for centuries and it is not a solution to every medical problem. The only solution that can be possible with the technology is that, the healthcare monitoring can rectify the traditional way of dealing with the patient’s care. Moreover, the cost of patient keeping may be reduced by automating some of tasks of nursing staff and management. This paper presents a workable prototype for an automated health assistance based on IOT and machine learning. The proposed system is 81.4% accurate in terms of performance and it is validated against the existing benchmarks and is specially made to reduce the load of doctors and nurses.