Applied Smart Health Care Informatics: A Computational Intelligence Perspective

Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies.

Deep Learning Applications in Healthcare

Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance.

Emerging Trends in Artificial Intelligence and Computational Intelligence

Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services.

IoT Solutions for Healthcare Management

Provides an overview of different deep learning applications for intelligent healthcare informatics management, and describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management.

Mobile-Based Healthcare Management and Computer-Aided Diagnosis

Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management, and discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques.

Exploratory Data Analysis in Healthcare Informatics

Examines the use of exploratory data analysis in intelligent healthcare informatics systems, and provides an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.