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Best Pract Res Clin Anaesthesiol. 2009 Mar;23(1):127-43.

Machine learning techniques to examine large patient databases.

Author information

1
Department of Intensive Care Medicine, UZ Leuven--Campus Gasthuisberg, Catholic University of Leuven, Herestraat 49, 3000 Leuven, Belgium. geert.meyfroidt@uzleuven.be

Abstract

Computerization in healthcare in general, and in the operating room (OR) and intensive care unit (ICU) in particular, is on the rise. This leads to large patient databases, with specific properties. Machine learning techniques are able to examine and to extract knowledge from large databases in an automatic way. Although the number of potential applications for these techniques in medicine is large, few medical doctors are familiar with their methodology, advantages and pitfalls. A general overview of machine learning techniques, with a more detailed discussion of some of these algorithms, is presented in this review.

PMID:
19449621
[Indexed for MEDLINE]

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