Data mining algorithm predicts a range of adverse outcomes in major depression

•The course of major depression is highly varied.•Genetic and environmental risk factors influence the course of depression.•Data mining techniques can be used to predict the course of depression.•Replication in new samples is crucial to test these prediction models.•Prediction models may assist cli...

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Bibliographic Details
Published in:	Journal of affective disorders Vol. 276; pp. 945 - 953
Main Authors:	van Loo, Hanna M., Bigdeli, Tim B., Milaneschi, Yuri, Aggen, Steven H., Kendler, Kenneth S.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.11.2020
Subjects:	Algorithms Anxiety Disorders - diagnosis Anxiety Disorders - epidemiology Course of illness Data Mining Data mining, prediction Depression Depressive Disorder, Major - diagnosis Humans Major depression Psychiatric/Mental Health Recurrence Replication Recurrence Replication Data mining, prediction Major depression Course of illness
ISSN:	0165-0327, 1573-2517, 1573-2517
Online Access:	Get full text
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