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Machine Learning in Medicine: Part Two

by Cleophas, Ton J. (Author), Zwinderman, Aeilko H. (Author),

ISBN: 9789400795129
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Machine Learning in Medicine (9789400795129)

Springer

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Details
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.

The book, Machine Learning in Medicine (9789400795129) [Order Bulk Books, Wholesale, Quantity Discount] with ISBN# 9789400795129 in by Cleophas, Ton J., Zwinderman, Aeilko H., may be ordered in class sets of books and bulk children's books for your classroom novel set needs. Minimum orders start at copies.

Product details

Author: Cleophas, Ton J.Zwinderman, Aeilko H.
Publisher: Springer Netherlands
Publication Date: 06/13/2015
Language: English
Pages: 231
Author: Cleophas, Ton J.Zwinderman, Aeilko H.
Publisher: Springer Netherlands
Publication Date: 06/13/2015
Language: English
Pages: 231

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