Overview

Advanced Computational Intelligence (CI) paradigms are increasingly used for implementing robust computer applications to foster safety, quality and efficacy in all aspects of healthcare. This research book covers an ample spectrum of the most advanced applications of CI in healthcare. The first chapter introduces the reader to the field of computational intelligence and its applications in healthcare. In the following chapters, readers will gain an understanding of effective CI methodologies in several important topics including clinical decision support, decision making in medicine effectiveness, cognitive categorizing in medical information system as well as intelligent pervasive healthcare systems, and agent middleware for ubiquitous computing. Two chapters are devoted to imaging applications: detection and classification of microcalcifications in mammograms using evolutionary neural networks, and Bayesian methods for segmentation of medical images. The final chapters cover key aspects of healthcare, including computational intelligence in music processing for blind people and ethical healthcare agents. This book will be of interest to postgraduate students, professors and practitioners in the areas of intelligent systems and healthcare.

Full Product Details

Author:   Margarita Sordo ,  Sachin Vaidya ,  Prof. Lakhmi C. Jain
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1st ed. Softcover of orig. ed. 2008
Volume:   107
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783642096440

ISBN 10:   3642096441
Pages:   257
Publication Date:   30 November 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

An Introduction to Computational Intelligence in Healthcare: New Directions.- AI in Clinical Decision Support: Applications in Optical Spectroscopy for Cancer Detection and Diagnosis.- Decision-making Techniques in Ranking of Medicine Effectiveness.- Cognitive Categorizing in UBIAS Intelligent Medical Information Systems.- Intelligent Pervasive Healthcare Systems.- An Agent Middleware for Ubiquitous Computing in Healthcare.- Detection and Classification of Microcalcification Clusters in Mammograms using Evolutionary Neural Networks.- Bayesian Constrained Spectral Method for Segmentation of Noisy Medical Images. Theory and Applications.- Breaking Accessibility Barriers: Computational Intelligence in Music Processing for Blind People.- Ethical Healthcare Agents.

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