Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
2158-3188
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach ; volume:8 ; number:1 ; day:5 ; month:11 ; year:2018 ; pages:1-11 ; date:12.2018
Translational Psychiatry ; 8, Heft 1 (5.11.2018), 1-11, 12.2018

Creator
Dinga, Richard
Marquand, Andre F.
Veltman, Dick J.
Beekman, Aartjan T. F.
Schoevers, Robert A.
Hemert, Albert M. van
Penninx, Brenda W. J. H.
Schmaal, Lianne
Contributor
SpringerLink (Online service)

DOI
10.1038/s41398-018-0289-1
URN
urn:nbn:de:101:1-2018122322171300598290
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:50 AM CEST

Data provider

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Associated

  • Dinga, Richard
  • Marquand, Andre F.
  • Veltman, Dick J.
  • Beekman, Aartjan T. F.
  • Schoevers, Robert A.
  • Hemert, Albert M. van
  • Penninx, Brenda W. J. H.
  • Schmaal, Lianne
  • SpringerLink (Online service)

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