Machine Learning in Medicine

Lieferzeit: Lieferbar innerhalb 14 Tagen

53,49 

ISBN: 9400793634
ISBN 13: 9789400793637
Autor: Cleophas, Ton J/Zwinderman, Aeilko H
Verlag: Springer Verlag GmbH
Umfang: xv, 265 S., 44 s/w Illustr., 265 p. 44 illus.
Erscheinungsdatum: 08.02.2015
Auflage: 1/2015
Produktform: Kartoniert
Einband: Kartoniert

This handy guide will help clinicians with computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It includes step by step data analyses in SPSS.

Artikelnummer: 7828677 Kategorie:

Beschreibung

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.

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E-Mail: juergen.hartmann@springer.com

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