IoT-Based Disease Prediction and Diagnosis Systems

Today, most people use the Internet for web searching, accessing multimedia services, and engaging in social networks, providing smart communication between machines and electronic devices. In fact, the goal of the Internet of Things (IoT) is to connect anything, anytime, anywhere, using any path or network and serving any purpose ideally. The application of IoT in the field of medicine reduces waiting times, tracks patients, doctors, equipment, and more. The aim of this paper is to investigate IoT-based disease prediction and diagnosis systems,artificial intelligence, and machine learning methods.Methods and techniques such as Machine Learning (ML) on IoT data, healthcare datasets, model evaluation, and machine learning description are mentioned for disease prediction and diagnosis systems. Real-world machine learning models for healthcare applications are then discussed in this paper. Some successful applications of machine learning in disease diagnosis through IoT data are presented. Finally, future trends in machine learning for disease diagnosis, collaboration between Artificial Intelligence and the Internet of Things in disease diagnosis, were introduced.