Predicting the naturalistic course of depression from a wide range of clinical, psychological, and biological data: a machine learning approach
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2158-3188
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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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
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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
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SpringerLink (Online service)
- DOI
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10.1038/s41398-018-0289-1
- URN
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urn:nbn:de:101:1-2018122322171300598290
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:50 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
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)