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  • © 2013

Machine Learning in Medicine

  • 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
  • Includes supplementary material: sn.pub/extras

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Table of contents (20 chapters)

  1. Front Matter

    Pages i-xv
  2. Introduction to Machine Learning

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 1-15
  3. Logistic Regression for Health Profiling

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 17-24
  4. Optimal Scaling: Discretization

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 25-38
  5. Partial Correlations

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 55-64
  6. Mixed Linear Models

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 65-77
  7. Binary Partitioning

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 79-86
  8. Item Response Modeling

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 87-98
  9. Time-Dependent Predictor Modeling

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 99-111
  10. Seasonality Assessments

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 113-126
  11. Non-linear Modeling

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 127-143
  12. Artificial Intelligence, Multilayer Perceptron Modeling

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 145-156
  13. Artificial Intelligence, Radial Basis Functions

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 157-166
  14. Factor Analysis

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 167-181
  15. Hierarchical Cluster Analysis for Unsupervised Data

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 183-195
  16. Partial Least Squares

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 197-213
  17. Discriminant Analysis for Supervised Data

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 215-224
  18. Canonical Regression

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 225-240
  19. Fuzzy Modeling

    • Ton J. Cleophas, Aeilko H. Zwinderman
    Pages 241-253

About this book

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing research, operational research and applied sciences. It is virtually unused in clinical research. This is probably due to the traditional belief of clinicians in clinical trials where multiple variables are equally balanced by the randomization process and are not further taken into account. In contrast, modern computer data files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required. This book was written as a hand-hold presentation accessible to clinicians, and as a must-read publication for those new to the methods.

Reviews

From the reviews:

“This novel book on machine learning in medicine deals with statistical methods for analyzing complex data involving multiple variables. … The intended audience includes physicians, clinical researchers, physicians in training, statisticians, and medical students, as well as master’s and doctoral students in epidemiology and biostatistics. … The language is simple and the chapters are well organized. This will be an excellent resource for a quick review of machine learning in medicine, particularly in genetic research, clinical trials, and adverse drug surveillance.” (Parthiv Amin, Doody’s Book Reviews, September, 2013)

Authors and Affiliations

  • Sliedrecht, Netherlands

    Ton J. Cleophas

  • , Dept. Epidemiology and Biostatistics, Academic Medical Center, Amsterdam, Netherlands

    Aeilko H. Zwinderman

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access