Artificial Intelligence-Based Healthcare Industry 4.0 for Disease Detection Using Machine Learning Techniques

Abstract

Smart Healthcare Solutions are prevailing in this technological evolving era of Industry 4.0. Healthcare Intelligence has been embedded within excellent Decision Support Systems and Recommendation Systems. The intelligence of these systems is backed by Machine Learning Techniques. Advancement in Machine Learning (ML) Techniques has led to the innovations in healthcare systems. Automatic intelligent systems are developed on the basis of multiple clinical and instrumental parameters to detect the disease in patients in time so that it can be cured with necessary proactive actions. In the absence of modern technology and medical experts, the diagnosis and treatment of disease was very difficult. Nowadays, the advancement in Artificial Intelligence (AI) techniques, the medical intelligence is available with automatic systems which allows a proper diagnosis and treatment and saves lives of so many people. This chapter gives a detailed description of the machine learning concepts which are key contributors in the development of Healthcare 4.0 solutions for disease detection. It allows the audience to understand the machine learning environment with a precise explanation to the architecture and framework. Along with the literature work, the applications of AI in Healthcare 4.0 for disease detection are discussed with two exclusive case studies—(1) heart disease prediction and (2) COVID-19 detection. This chapter highlights the current and future trends in healthcare solutions from the perspective of Learning Machines and Artificial Intelligence.