Machine learning in medicine /

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Bibliographic Details
Author / Creator:	Cleophas, Ton J. M.
Imprint:	Dordrecht : Springer, 2013.
Description:	1 online resource (270 pages)
Language:	English
Subject:	Medicine -- Data processing. Machine learning. Medical Informatics Applications. Computer-Assisted Instruction -- methods. Expert Systems. Machine learning. Medicine -- Data processing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/9849859

Hidden Bibliographic Details
Other authors / contributors:	Zwinderman, Aeilko H.
ISBN:	9789400758247 (electronic bk.) 9400758243 (electronic bk.) 9789400758230
Notes:	Includes bibliographical references and index. Description based on print version record.
Summary:	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.
Other form:	Print version: Cleophas, Ton J. Machine Learning in Medicine. Dordrecht : Springer, ©2013 9789400758230

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