The Handbook of Research on Applied Intelligence for Health and Clinical Informatics is a comprehensive reference book that focuses on the study of resources and methods for the management of healthcare infrastructure and information. This book provides insights on how applied intelligence with deep learning, experiential learning, and more will impact healthcare and clinical information processing. The content explores the representation, processing, and communication of clinical information in natural and engineered systems. This book covers a range of topics including applied intelligence, medical imaging, telehealth, and decision support systems, and also looks at technologies and tools used in the detection and diagnosis of medical conditions such as cancers, diabetes, heart disease, lung disease, and prenatal syndromes. It is an essential reference source for diagnosticians, medical professionals, imaging specialists, data specialists, IT consultants, medical technologists, academicians, researchers, industrial experts, scientists, and students.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Applied Intelligence
•Artificial Intelligence
•Cancer
•Clinical Data
•Clinical Informatics
•Cloud Computing
•COVID-19 Pandemic
•Decision Support System
•Deep Learning
•Detection and Diagnosis
•Diabetes
•Health Informatics
•Heart Disease
•Internet of Things (IoT)
•Lung Disease
•Machine Learning
•Medical Imaging
•Mental Health Detection
•Neural Networks
•Optimization of Medical Resources
•Telehealth
•Telemedicine