Machine Learning in Medicine

Part Three

Authors: Cleophas, Ton J., Zwinderman, Aeilko H.

  • Electronic health records of modern health facilities, are increasingly complex and systematic assessment of these records is virtually impossible without special computationally intensive methods
  • Clinicians and other health professionals are not familiar with these methods, and this book is the first publication that systematically reviews such methods, particularly, for this audience
  • The book is written as a hand-hold presentation also accessible to non-mathematicians, and as a must-read publication for those new to the methods
  • The book includes step by step data analyses in SPSS, and can, therefore, also be used as a cookbook-like guide for those starting with the novel methodologies machine learning
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eBook $69.99
price for USA (gross)
  • ISBN 978-94-007-7869-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA
  • ISBN 978-94-007-7868-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: June 12, 2016
  • ISBN 978-94-024-0260-5
  • Free shipping for individuals worldwide
About this Textbook

Machine learning is concerned with the analysis of large data and multiple variables. It is also often more sensitive than traditional statistical methods to analyze small data. The first and second volumes reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, fuzzy modeling, various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, association rule learning, anomaly detection, and correspondence analysis. This third volume addresses more advanced methods and includes subjects like evolutionary programming, stochastic methods, complex sampling, optional binning, Newton's methods, decision trees, and other subjects. Both the theoretical bases and the step by step analyses are described for the benefit of non-mathematical readers. Each chapter can be studied without the need to consult other chapters. Traditional statistical tests are, sometimes, priors to machine learning methods, and they are also, sometimes, used as contrast tests. To those wishing to obtain more knowledge of them, we recommend to additionally study (1) Statistics Applied to Clinical Studies 5th Edition 2012, (2) SPSS for Starters Part One and Two 2012, and (3) Statistical Analysis of Clinical Data on a Pocket Calculator Part One and Two 2012, written by the same authors, and edited by Springer, New York.

Reviews

From the reviews:

“This book is excellent. It is valuable source of a basic understanding of novel machine learning methods of clinical data analysis and can be used as a reference by students and teachers of epidemiology, statistics and biostatistics, computer and social scientists, and clinical investigators.” (Vedang J. Bhavsar, Doody’s Book Reviews, March, 2014)


Table of contents (20 chapters)

  • Introduction to Machine Learning in Medicine Part Three

    Cleophas, Ton J. (et al.)

    Pages 1-9

  • Evolutionary Operations

    Cleophas, Ton J. (et al.)

    Pages 11-18

  • Multiple Treatments

    Cleophas, Ton J. (et al.)

    Pages 19-28

  • Multiple Endpoints

    Cleophas, Ton J. (et al.)

    Pages 29-36

  • Optimal Binning

    Cleophas, Ton J. (et al.)

    Pages 37-46

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-94-007-7869-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $89.99
price for USA
  • ISBN 978-94-007-7868-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: June 12, 2016
  • ISBN 978-94-024-0260-5
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning in Medicine
Book Subtitle
Part Three
Authors
Copyright
2013
Publisher
Springer Netherlands
Copyright Holder
Springer Science + Business Media Dordrecht
eBook ISBN
978-94-007-7869-6
DOI
10.1007/978-94-007-7869-6
Hardcover ISBN
978-94-007-7868-9
Softcover ISBN
978-94-024-0260-5
Edition Number
1
Number of Pages
XIX, 224
Number of Illustrations and Tables
41 b/w illustrations
Topics