Combining machine learning algorithms for prediction of antidepressant treatment response-Reference-Cited by-同舟云学术

Combining machine learning algorithms for prediction of antidepressant treatment response

Published:2020-11-27 Issue:1 Volume:143 Page:36-49
ISSN:0001-690X
Container-title:Acta Psychiatrica Scandinavica
language:en
Short-container-title:Acta Psychiatr. Scand.

Author:

Kautzky Alexander¹^ORCID,Möller Hans‐Juergen²,Dold Markus¹^ORCID,Bartova Lucie¹,Seemüller Florian²³,Laux Gerd⁴,Riedel Michael²⁵,Gaebel Wolfgang⁶,Kasper Siegfried¹^ORCID

Affiliation:

1. Department of Psychiatry and Psychotherapy Medical University of Vienna Vienna Austria

2. Department of Psychiatry and Psychotherapy Ludwig‐Maximilians‐Q3 University Munich Munich Germany

3. Department of Psychiatry and Psychotherapy kbo‐Lech‐Mangfall‐Klinik Garmisch‐Partenkirchen Germany

4. Department of Psychiatry and Psychotherapy kbo‐Inn‐Salzach‐Klinikum Wasserburg Germany

5. Department of Psychiatry Sächsisches Krankenhaus Rodewisch Germany

6. Department of Psychiatry and Psychotherapy Medical Faculty Heinrich‐Heine‐University Düsseldorf Germany

Funder

Bundesministerium für Bildung und Forschung

Publisher

Wiley

Subject

Psychiatry and Mental health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/acps.13250

Reference64 articles.

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2. Treatment resistant depression: A multi-scale, systems biology approach

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5. Treatment Selection in Depression

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