Role of IoT and ML in Healthcare

Abstract

Internet of Things (IoT) is known as a network of various physical devices that are implanted with different sensors, software along with Internet connectivity to allow connected devices to communicate without human interference. Today, IoT has spread in almost all fields, such as agriculture, industries, supply chain management, sports, smart cities, traffic management, driverless vehicle technology, healthcare, etc. Devices can communicate any time at anywhere in all places, which makes the IoT called the Internet of Everything. Medical care is known as the progression of human health through the prevention of ailments, the diagnosis and treatment of illnesses, accidents and mental disabilities. With technological advancements, machine learning (ML) and deep learning (DL) are gaining popularity in many applications, such as natural language processing (NLP), disease prediction, bioinformatics, speech recognition, etc. The main data sources for the DL system are medical IoT, electronic health records, digitized images, and healthcare records. There are certain issues that can be encountered in DL, such as privacy, implementation, and optimization. This paper introduces ML applications for IoT in health systems and medical sciences by reviewing related work. Finally, this paper will discuss the challenges, opportunities, advantages, and disadvantages of each study.