AI-Enabled IoT for Smart Healthcare Systems

The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from various sources for application-based healthcare research. This book would provide insight to the learners about Machine Learning, Data Analytics, and Sustainable Computing. This book reveals the applications of AI and IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems, and their findings in e-healthcare services. The book covers applications, includes case studies, and discusses how AI and IoT applications
such as wireless devices, sensors, and deep learning could play a significant role to assist patients, doctors, and pharmaceutical staff. It also focuses on how AI and IoT could be used to keep patients safe, healthy and, at the same time, empower physicians to deliver superlative care. This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It combines the design and problem-solving skills of engineering with health sciences in order to advance healthcare treatment. Moreover, different datasets are used, thereby exploring real-world case studies related to medical informatics. It provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform healthdelivery. The book includes areas such as diagnosis, monitoring, and therapy.