Internet of Things (IoT) in Healthcare: Applications, Challenges and Solutions

In recent years, smart healthcare IoT devices have become ubiquitous, but they mostly work in isolated networks due to their policies. Having these devices connected in a network enables us to perform distributed medical data analysis. However, the presence of diverse IoT devices in terms of technology, structure, and network policy, make it a challenging issue while applying traditional cen-tralized learning algorithms on decentralized data collected from the IoT devices. In this study, we present an extensive review of the state-of-the-art machine learning applications particularly in healthcare, challenging issues in IoT, and corresponding promising solutions.