Smart health paradigms involve deploying intelligent computing, information, and networking technologies to aid in preventing disease, improving the quality of care, and lowering overall cost. Advances in artificial intelligence (AI) paradigms and smart health informatics systems (SHIS) domains highlight the need for ICT systems that aim not only in the improvement of human quality of life but at their safety too.

Artificial Intelligence Paradigms in Smart Health Informatics Systems provides emerging research exploring the role of AI paradigms and machine learning techniques in the development of SHIS. Featuring coverage on a broad range of topics such as cancer diagnosis, personalized medicine, and smart healthcare, this book is ideally designed for physicians, IT consultants, software engineers, practitioners, academicians, students, and researchers.