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 Medicine clearly 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 "techno-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.
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