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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Veröffentlicht in:	Journal of the American Medical Informatics Association : JAMIA Jg. 15; H. 4; S. 546
Hauptverfasser:	Sohn, Sunghwan, Kim, Won, Comeau, Donald C, Wilbur, W John
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 01.07.2008
Schlagworte:	Abstracting and Indexing as Topic - methods Algorithms Artificial Intelligence Bayes Theorem Medical Subject Headings Natural Language Processing
ISSN:	1067-5027
Online-Zugang:	Weitere Angaben
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