Wiley Applied Smart Health Care Informatics: A Computational Intelligence Perspective (The Wiley Series in Intelligent Signal and Data Processing)

Product Description Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcareApplied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. 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. 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. 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. Provides an overview of different deep learning applications for intelligent healthcare informatics management Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and managementProposes IoT solutions that disseminate essential medical information for intelligent healthcare managementDiscusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniquesExamines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing. From the Inside Flap Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcareApplied Smart Health Care Informatics explores how health information technology and intelligent systems can be integrated and deployed to enhance healthcare management. 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.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. 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.Provides an overview of different deep learning applications for intelligent healthcare informatics managementDescribes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and managementProposes IoT solutions that disseminate essential medical information for intelligent healthcare managementDiscusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniquesExamines the use of exploratory data analysis in intelligent healthcare informatics systemsIncludes a companion website with video tutorials for each chapter in