The Predictive Validity of Machine Learning Models in the Classification and Treatment of Major Depressive Disorder: State of the Art and Future Directions

Major depressive disorder imposes a substantial disease burden worldwide, ranking as the third leading contributor to global disability. In spite of its ubiquity, classifying and treating depression has proven troublesome. One argument put forward to explain this predicament is the heterogeneity of...

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Bibliographic Details

Published in:	Frontiers in psychiatry Vol. 11; p. 472
Main Authors:	Ermers, Nick J., Hagoort, Karin, Scheepers, Floortje E.
Format:	Journal Article
Language:	English
Published:	Frontiers Media S.A 25.05.2020
Subjects:	electronic health records machine learning major depressive disorder natural language processing precision psychiatry predictive modeling Psychiatry
ISSN:	1664-0640, 1664-0640
Online Access:	Get full text
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