Machine Learning in Medicine

Part Two

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
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eBook $69.99
price for USA (gross)
  • ISBN 978-94-007-6886-4
  • 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 978-94-007-6885-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA
  • ISBN 978-94-007-9512-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

Machine learning is concerned with the analysis of large data and multiple variables. However, it is also often more sensitive than traditional statistical methods to analyze small data. The first volume reviewed subjects like optimal scaling, neural networks, factor analysis, partial least squares, discriminant analysis, canonical analysis, and fuzzy modeling. This second volume includes various clustering models, support vector machines, Bayesian networks, discrete wavelet analysis, genetic programming, association rule learning, anomaly detection, correspondence analysis, 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 is the second volume of a novel publication on machine learning in medicine that details statistical analysis of complex data with many variables. … The intended audience includes physicians, clinical researchers, physicians in training, statisticians, and medical students as well as master’s and doctoral students in biostatistics and epidemiology. … The simple language and well-organized chapters are unsurpassed attributes of this book. It is an exceptional resource for a quick review of machine learning in medicine.” (Goral Panchal, Doody’s Book Reviews, October, 2013)

Table of contents (20 chapters)

  • Introduction to Machine Learning Part Two

    Cleophas, Ton J. (et al.)

    Pages 1-7

  • Two-Stage Least Squares

    Cleophas, Ton J. (et al.)

    Pages 9-15

  • Multiple Imputations

    Cleophas, Ton J. (et al.)

    Pages 17-26

  • Bhattacharya Analysis

    Cleophas, Ton J. (et al.)

    Pages 27-38

  • Quality-of-Life (QOL) Assessments with Odds Ratios

    Cleophas, Ton J. (et al.)

    Pages 39-44

Buy this book

eBook $69.99
price for USA (gross)
  • ISBN 978-94-007-6886-4
  • 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 978-94-007-6885-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $89.99
price for USA
  • ISBN 978-94-007-9512-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning in Medicine
Book Subtitle
Part Two
Authors
Copyright
2013
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-94-007-6886-4
DOI
10.1007/978-94-007-6886-4
Hardcover ISBN
978-94-007-6885-7
Softcover ISBN
978-94-007-9512-9
Edition Number
1
Number of Pages
XIV, 231
Topics