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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Veröffentlicht in:	Frontiers in psychiatry Jg. 11; S. 472
Hauptverfasser:	Ermers, Nick J., Hagoort, Karin, Scheepers, Floortje E.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Frontiers Media S.A 25.05.2020
Schlagworte:	electronic health records machine learning major depressive disorder natural language processing precision psychiatry predictive modeling Psychiatry
ISSN:	1664-0640, 1664-0640
Online-Zugang:	Volltext
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