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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.
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.
Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management, supporting enhanced coordination of care and improving the overall quality of healthcare services.
Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques, offering insights into the future of healthcare management.
Examines the use of exploratory data analysis in intelligent healthcare informatics systems, providing researchers and professionals with essential tools for data-driven decision making.
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.
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