A Novel Approach to Data Mining Algorithms and IoT based Data Mining Machine Learning

With the rapid expansion of health facilities and technologies, the IoT-based data mining model strengthens the connection between machines and allows for remote monitoring to take place in the health care system. In the present research, the aim is to create and propose a new data mining method and a medical system to provide medical services with high speed and more accuracy in IoT-based data mining to achieve the goal. Separating the definitive data index from the health system has improved their current position. In the case of explicit and distributed EFD (Explore Fixed Data) data, we directly analyze the current meanings of the health system data field by implementing BAYESSTORE data model algorithms and comparing them with other similar ones. Although health system structures and correlations in data as objects are searched by applications, they can be effectively modeled and manipulated.