Optimal training sets for Bayesian prediction of MeSH assignment

The aim of this study was to improve naïve Bayes prediction of Medical Subject Headings (MeSH) assignment to documents using optimal training sets found by an active learning inspired method. The authors selected 20 MeSH terms whose occurrences cover a range of frequencies. For each MeSH term, they...

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Bibliographic Details

Published in:	Journal of the American Medical Informatics Association : JAMIA Vol. 15; no. 4; p. 546
Main Authors:	Sohn, Sunghwan, Kim, Won, Comeau, Donald C, Wilbur, W John
Format:	Journal Article
Language:	English
Published:	England 01.07.2008
Subjects:	Abstracting and Indexing as Topic - methods Algorithms Artificial Intelligence Bayes Theorem Medical Subject Headings Natural Language Processing
ISSN:	1067-5027
Online Access:	Get more information
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