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Fuzzy and Neuro-Fuzzy Systems in Medicine (International Series on Computational Intelligence) [Hardcover]

Horia-Nicolai L Teodorescu (Author), Abraham Kandel (Author), Lakhmi C. Jain (Author)
5.0 out of 5 stars  See all reviews (1 customer review)


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Book Description

September 30, 1998 International Series on Computational Intelligence (Book 2)
Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains relevant problems, as well as provides solutions to these problems.
After an introduction, the book progresses from one topic to another - with a linear development from fundamentals to applications.

Chapters discuss:
  • a historical perspective of fuzzy systems technology and neuro-fuzzy systems technology in medicine and biology
  • the relationship of fuzzy logic to the human brain
  • analysis and classification of signals using fuzzy, neuro-fuzzy, and wavelet methods
  • wavelet analysis combined with neuro-fuzzy systems in contouring gated SPECT images of ventricles
  • a detailed application based on a knowledge-based system that uses fuzzy techniques, multispectral analysis, and image processing algorithms
  • applications in the field of dentistry
  • a dedicated system for myocardial ischemia diagnosis
  • a typical expert system used in intensive care units
  • designing and tuning fuzzy rules for medical diagnosis
  • knowledge processing, decision-making, and control strategies combined with control methods in medical equipment
  • current technological problems and trends in the neural and fuzzy hardware implementation field
    The well-balanced chapters cover all the major fields in medicine and biomedical engineering, including imaging, prosthetics, psychology, medical equipment, diagnosis, and treatment.

  • Product Details

    • Hardcover: 432 pages
    • Publisher: CRC Press; 1 edition (September 30, 1998)
    • Language: English
    • ISBN-10: 0849398061
    • ISBN-13: 978-0849398063
    • Product Dimensions: 9.5 x 6.4 x 1.1 inches
    • Shipping Weight: 1.6 pounds
    • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
    • Amazon Best Sellers Rank: #3,502,331 in Books (See Top 100 in Books)

     

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    2 of 3 people found the following review helpful:
    5.0 out of 5 stars Major editorial event for neuro-fuzzy medical comunity, April 23, 2000
    This review is from: Fuzzy and Neuro-Fuzzy Systems in Medicine (International Series on Computational Intelligence) (Hardcover)
    The monograph, containing interdisciplinary studies on the use of neuro-fuzzy paradigm in medicine and biomedical applications, is structured in three parts and is composed of contributed papers by independent teams of researchers. It creates a bridge between two scientific communities, information technology researchers, on one side and specialists in medicine and biomedical engineering, on the other side, filling a gap that originates in the lack of communication between the two parties. The book brings to the reader contributions by researchers who have been active in the field in the past few years. The list of authors comprises 35 researchers affiliated to outstanding research and academic institutions that cover a very wide geographic area. The monograph addresses a large range of readers, including fuzzy - engineering community, researchers in medicine and biomedical engineering, teachers, doctoral students. Each chapter is provided with an extended list of references, and most of contributed papers contain comprehensive explanation of terminology. At the end of the book, a very rich index of terms is given. A very good idea is having a section that introduces the contributors to the reader, so the papers can be placed in the larger context of their scientific work. We state that the monograph is a major contribution to the dissemination of knowledge in the scientific community; no doubt that we face an editorial event. The book may be regarded as a good acquisition for the reader involved in the approached scientific domains.

    Florin Grigoras, PhD, research engineer,

    Institute for Theoretical Informatics, Romanian Academy, Iasi Branch, Romania

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    Inside This Book (learn more)
    First Sentence:
    Fuzzy logic has provided a basis for representing uncertain and imprecise knowledge and formed a basis for human reasoning representation in medical and biomedical engineering applications. Read the first page
    Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
    dental developmental age, fuzzy term set, fuzzy hardware, ischemia heart disease, myocardial ischemia diagnosis, taste neurons, fuzzy system models, diagnosis cell, eruption state, basis waveforms, fuzzy neurons, treadmill score, neuron implements, circulatory model, partition density, left ventricle ejection fraction, fuzzy expert system, fuzzy logic inference, output universe, fuzzy systems, fired strength, membership functions, tumor boundaries, supervisory commands, fuzzy automata
    Key Phrases - Capitalized Phrases (CAPs): (learn more)
    New York, European Congress, First Tumor, Kluwer Academic Publishers, Stage Four, Correspondence Ratio, Knowledge Based Versus Hand Labeling, Prentice Hall, Stage Two, Repeat Scan, Scanning Session, Stage Three, The Netherlands, University of South Florida, Academic Press, Fuzzy Hemodynamic Control Module, Journal of Solid-State Circuits, New Jersey, North Holland, Percent Match, Reed Murtagh, San Diego, Single Photon Emission Computed Tomography, Electron Devices, Horizontal Long Axis
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    Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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