An IoMT enabled smart healthcare model to monitor elderly people using Explainable Artificial Intelligence (EAI)

Abstract

Disease forecast and control via several healthcare gadgets and services have recently recognized a lot of attention, especially with the fast transition to an ageing people and increased attention in healthcare. In this age of advanced technology, advances in the Internet of Medical Things (IoMT), wearable sensors, and telecommunication technologies have made human life smarter, enabling smart healthcare services. The Internet of Things (IoT) can revolutionize the healthcare sector. By utilizing Wireless Body Sensor Networks (WBSNs) and Implantable Medical Devices based IoMT, smart healthcare systems (SHSs) are delivering quick and effective disease medication. This paper describes an IoMT-based intelligent healthcare model that uses explainable artificial intelligence (EAI) to keep track of the health of elderly people. EAI can be used to overcome the explainability and reliability limitations of Machine Learning (ML) and Deep Learning (DL) models, resulting in more accurate results.