Catalogue


Intelligent and adaptive systems in medicine [electronic resource] /
edited by Olivier C.L. Haas, Keith J. Burnham.
imprint
New York : Taylor & Francis, c2008.
description
xviii, 382 p. : ill. ; 25 cm.
ISBN
0750309946 (alk. paper), 9780750309943 (alk. paper)
format(s)
Book
Holdings
More Details
imprint
New York : Taylor & Francis, c2008.
isbn
0750309946 (alk. paper)
9780750309943 (alk. paper)
restrictions
Licensed for access by U. of T. users.
general note
"The idea for this book stemmed from the multidisciplinary meeting on "intellligent systems in medical diagnostics and therapy," which was held at Coventry University, United Kingdom, in October 2002"--P. xi.
catalogue key
7959935
 
Includes bibliographical references and index.
A Look Inside
Reviews
This item was reviewed in:
SciTech Book News, June 2008
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Summaries
Bowker Data Service Summary
The authors describe the application of adaptive and intelligent control, data mining, and intelligent systems in the diagnosis, planning, treatment, and follow-up of diseases such as cancer. Coverage includes fuzzy logic, artificial neural networks, neuro-fuzzy modelling, data mining, and more.
Main Description
Intelligent and adaptive techniques are rapidly being used in all stages of medical treatment, from the initial diagnosis to planning delivery and follow-up therapy.To realize the full potential of these techniques, developers and end users must understand both the underlying technology and the specifics of the medical application considered. Focusing on this growing area of interest, Intelligent and Adaptive Systems in Medicineclearly and concisely explains a range of adaptive and intelligent systems, highlighting their benefits and limitations with realistic medical examples. Bringing together theory and practice, this volume describes the application of adaptive and intelligent control as well as intelligent systems in the diagnosis, planning, treatment, and follow up of diseases such as cancer. Each chapter presents a family of an intelligent and adaptive system, explains the techniques and algorithms behind these systems, and explores how to solve medical and biomedical problems usingintelligent and adaptive systems. The book focuses on the methods of fuzzy logic, artificial neural networks, neuro-fuzzy modeling, adaptive and predictive control, systems and statistical modeling, and image processing. By assessing the use of intelligent and adaptive techniques for medical diagnosis and therapy, this guide promotes further research in this area of a'techno-medicine.a? It provides researchers and clinicians with the tools and processes that are leading to the invaluable use of intelligent systems in early diagnoses and effective treatment.
Title Summary
"Focusing on a growing area of medical technology, Intelligent and Adaptive Systems in Medicine clearly and concisely explains a range of adaptive and intelligent systems, highlighting their benefits and limitations with realistic medical examples." "Bridging the gap between theory and practice, this volume describes the application of adaptive and intelligent control as well as intelligent systems in the diagnosis, planning, treatment, and follow up of diseases such as cancer. Each chapter presents a family of an intelligent and adaptive system, explains the techniques and algorithms behind these systems, and explores how to solve medical and biomedical problems using intelligent and adaptive systems. The book focuses on the methods of fuzzy logic, artificial neural networks, neuro-fuzzy modeling, adaptive and predictive control, systems and statistical modeling, and image processing."--BOOK JACKET.
Main Description
Intelligent and adaptive techniques are rapidly being used in all stages of medical treatment, from the initial diagnosis to planning delivery and follow-up therapy.To realize the full potential of these techniques, developers and end users must understand both the underlying technology and the specifics of the medical application considered. Focusing on this growing area of interest, Intelligent and Adaptive Systems in Medicineclearly and concisely explains a range of adaptive and intelligent systems, highlighting their benefits and limitations with realistic medical examples. Bringing together theory and practice, this volume describes the application of adaptive and intelligent control as well as intelligent systems in the diagnosis, planning, treatment, and follow up of diseases such as cancer. Each chapter presents a family of an intelligent and adaptive system, explains the techniques and algorithms behind these systems, and explores how to solve medical and biomedical problems using intelligent and adaptive systems. The book focuses on the methods of fuzzy logic, artificial neural networks, neuro-fuzzy modeling, adaptive and predictive control, systems and statistical modeling, and image processing. By assessing the use of intelligent and adaptive techniques for medical diagnosis and therapy, this guide promotes further research in this area of Stechno-medicine. It provides researchers and clinicians with the tools and processes that are leading to the invaluable use of intelligent systems in early diagnoses and effective treatment.
Back Cover Copy
This book clearly and concisely explains a range of adaptive and intelligent systems, highlighting their benefits and limitations with realistic medical examples. It illustrates how these systems can be used in all stages of medical treatment. The book focuses on fuzzy logic, artificial neural networks, neuro-fuzzy modeling, adaptive and predictive control, systems and statistical modeling, and image processing.
Table of Contents
Prefacep. xi
Acknowledgmentsp. xiii
Editorsp. xv
Contributorsp. xvii
Introductionp. 1
Systems Modeling, Identification and Control Theory Applied to Medicinep. 15
Systems Modeling and Control Applied to Medicinep. 17
Intelligent Control Systems in Anesthesiap. 53
Control Methods and Intelligent Systems in the Quality Control of Megavoltage Treatment Machinesp. 95
Artificial Intelligence Applied to Medicinep. 125
Neural, Fuzzy, and Neurofuzzy Systems for Medical Applicationsp. 127
The Soft Computing Technique of Fuzzy Cognitive Maps for Decision Making in Radiotherapyp. 173
Artificial Neural Networks in Radiation Therapyp. 213
Neural Networks for Estimating Probability Distributions for Survival Analysisp. 259
Intelligent and Adaptive Techniques in Medical Imagingp. 281
Some Applications of Intelligent Systems in Cancer Treatment: A Reviewp. 283
Fuzzy Systems and Deformable Modelsp. 305
Texture Analysis and Classification Techniques for Cancer Diagnosisp. 331
Indexp. 369
Table of Contents provided by Ingram. All Rights Reserved.

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