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OC157: Optimizing variable selection and cost using a genetic algorithm for modeling adnexal masses with Bayesian networks
Author(s) -
Gevaert O.,
De Moor B.,
Timmerman D.
Publication year - 2007
Publication title -
ultrasound in obstetrics and gynecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.202
H-Index - 141
eISSN - 1469-0705
pISSN - 0960-7692
DOI - 10.1002/uog.4263
Subject(s) - bayesian network , bayesian probability , feature selection , computer science , variable (mathematics) , machine learning , logistic regression , artificial intelligence , algorithm , data mining , medicine , mathematics , mathematical analysis
\emph{Ultrasound in Obstetrics and Gynecology}, Special Issue: 17th World Congress on Ultrasound in Obstetrics and Gynecology, vol. 30, no. 4, Oct. 2007status: publishe