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Titel:

Deconstructing depression by machine learning: the POKAL-PSY study.

Dokumenttyp:
Article; Journal Article
Autor(en):
Eder, Julia; Pfeiffer, Lisa; Wichert, Sven P; Keeser, Benjamin; Simon, Maria S; Popovic, David; Glocker, Catherine; Brunoni, Andre R; Schneider, Antonius; Gensichen, Jochen; Schmitt, Andrea; Musil, Richard; Falkai, Peter
Abstract:
Unipolar depression is a prevalent and disabling condition, often left untreated. In the outpatient setting, general practitioners fail to recognize depression in about 50% of cases mainly due to somatic comorbidities. Given the significant economic, social, and interpersonal impact of depression and its increasing prevalence, there is a need to improve its diagnosis and treatment in outpatient care. Various efforts have been made to isolate individual biological markers for depression to stream...     »
Zeitschriftentitel:
Eur Arch Psychiatry Clin Neurosci
Jahr:
2024
Band / Volume:
274
Heft / Issue:
5
Seitenangaben Beitrag:
1153-1165
Volltext / DOI:
doi:10.1007/s00406-023-01720-9
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38091084
Print-ISSN:
0940-1334
TUM Einrichtung:
Lehrstuhl für Allgemeinmedizin (Prof. Schneider)
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