Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.
Applications of advanced computational intelligence paradigms in medicine
Written by leading experts
This book is a continuation of the volumes providing various per-spectives on computational intelligence in healthcare [1-3].
This book is aimed to provide a sample of the state of art in the prac-tical applications of computational intelligence paradigms in health-care. It includes nineteen chapters on using various computational intelligent paradigms in healthcare such as intelligent agents and case-based reasoning. A number of applications and case studies are presented.
This book is targeted towards scientists, application engineers, pro-fessors, health professionals, professors and students.
Advances in Computational Intelligence in Healthcare.- Artificial Agents in Healthcare.- Clinical Semantics.- Agent Technology and Healthcare: Possibilities, Challenges and Examples of Application.- Mobile Agents in Healthcare, a Distributed Intelligence Approach.- A Joint Bayesian Framework for MR Brain Scan Tissue and Structure Segmentation Based on Distributed Markovian Agents.- The i-Walker: An Intelligent Pedestrian Mobility Aid.- Case-Based Reasoning in Healthcare.- Case-Based Reasoning in the Health Sciences: Foundations and Research Directions.- Intelligent Signal Analysis Using Case-Based Reasoning for Decision Support in Stress Management.- Case-Based Reasoning in a Travel Medicine Application.- Providing Case-Based Retrieval as a Decision Support Strategy in Time Dependent Medical Domains.- Meta-learning for Image Processing Based on Case-Based Reasoning.- Explaining Medical Model Exceptions.- Computational Intelligence Techniques for Classification in Microarray Analysis.- Sample Applications and Case Studies.- The Evolution of Healthcare Applications in the Web 2.0 Era.- Intelligent Adaptive Monitoring for Cardiac Surveillance.- Computational Intelligence in Cognitive Healthcare Information Systems.- An Advanced Probabilistic Framework for Assisting Screening Mammogram Interpretation.- Pattern Classification Techniques for Lung Cancer Diagnosis by an Electronic Nose.- A Portable Wireless Solution for Back Pain Telemonitoring: A 3D-Based, Virtual Reality Approach.