Deep learning for small and big data in psychiatry

Psychiatry today must gain a better understanding of the common and distinct pathophysiological mechanisms underlying psychiatric disorders in order to deliver more effective, person-tailored treatments. To this end, it appears that the analysis of 'small' experimental samples using conven...

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Veröffentlicht in:	Neuropsychopharmacology (New York, N.Y.) N.Y.), 2021-01, Vol.46 (1), p.176-190
Hauptverfasser:	Koppe, Georgia, Meyer-Lindenberg, Andreas, Durstewitz, Daniel
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Big Data Deep Learning Humans Learning algorithms Machine Learning Mental disorders Mental Disorders - therapy Nervous system Neuropsychopharmacology Reviews Phenotypes Psychiatry Statistics
Online-Zugang:	Volltext
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