Combining machine learning algorithms for prediction of antidepressant treatment response.

Publication Year: 2020

DOI:
10.1111/acps.13250

PMCID:
PMC7839691

PMID:
33141944

Journal Information

Full Title: Acta Psychiatr Scand

Abbreviation: Acta Psychiatr Scand

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Psychiatry

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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"CONFLICT OF INTEREST All other authors declare that they have no conflicts of interest."

Evidence found in paper:

"Funding information The study was performed within the framework of the German Research Network on Depression, which was funded by the German Federal Ministry for Education and Research BMBF (01GI0219). The BMBF had no further role in study design; in the collection, analysis, and interpretation of data and in the writing of the report. Dr. Kasper received grants/research support, consulting fees, and/or honoraria within the last three years from Angelini, AOP Orphan Pharmaceuticals AG, AstraZeneca, Eli Lilly, Janssen, KRKA‐Pharma, Lundbeck, Neuraxpharm, Pfizer, Pierre Fabre, Schwabe, and Servier. Dr. Möller received consulting fees and /or honoraria from Otsuka, Schwabe, and Servier in the last three years."

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Last Updated: Aug 05, 2025