Machine Learning in Medicine

Machine Learning in Medicine

EnglishHardbackPrint on demand
Cleophas Ton J.
Springer
EAN: 9789400758230
Print on demand
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Detailed information

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.
EAN 9789400758230
ISBN 9400758235
Binding Hardback
Publisher Springer
Publication date February 27, 2013
Pages 265
Language English
Dimensions 235 x 155
Country Netherlands
Readership Professional & Scholarly
Authors Cleophas Ton J.; Zwinderman Aeilko H.
Illustrations XV, 265 p. 44 illus.
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