Machine Learning Algorithms and Internet of Things for Healthcare: A Survey

The Internet of Things (IoT) has recently attracted a lot of attention in numerous applications. In particular, IoT technologies have shown significant improvements and cost reductions when used in healthcare systems. However, there are still many challenges in applying IoT technologies to healthcare systems, such as processing and analyzing huge amounts of health data. This data needs to be transferred to the cloud, securely stored, and properly analyzed for medical decisions. Furthermore, it is important to automate these decisions using machine learning (ML). In this article, we review the ML schemes that provide intelligence integrated with IoT used in healthcare systems. Afterward, we discuss existing types of ML algorithms and provide a number of challenges for ML issues in IoT-based healthcare applications. Our discussions are based on investigating current solutions with future research directions.