A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories.

This study examines the effectiveness of state-of-the-art supervised machine learning methods in conjunction with different feature types for the task of automatic annotation of fragments of clinical text based on codebooks with a large number of categories. We used a collection of motivational inte...

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Bibliographic Details

Published in:	Journal of Biomedical Informatics Vol. 62; pp. 21 - 32
Main Authors:	Hasan, Mehedi, Kotov, Alexander, Idalski Carcone, April, Dong, Ming, Naar, Sylvie, Brogan Hartlieb, Kathryn, Carcone, April, Hartlieb, Kathryn Brogan
Format:	research Journal Article
Published:	Academic Press Inc. Aug2016
Online Access:	View this record in EBSCOhost