A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care

General practitioners play an essential role in identifying depression and are often the first point of contact for patients. Current diagnostic tools, such as the Patient Health Questionnaire-9, provide initial screening but might lead to false positives. To address this, we developed a two-step ma...

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Vydané v:	European archives of psychiatry and clinical neuroscience
Hlavní autori:	Eder, Julia, Dong, Mark Sen, Wöhler, Melanie, Simon, Maria S., Glocker, Catherine, Pfeiffer, Lisa, Gaus, Richard, Wolf, Johannes, Mestan, Kadir, Krcmar, Helmut, Koutsouleris, Nikolaos, Schneider, Antonius, Gensichen, Jochen, Musil, Richard, Falkai, Peter
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Germany 10.03.2025
Predmet:	Depression diagnosis Predictive algorithm Primary care Depression subtypes Data-driven methods
ISSN:	0940-1334, 1433-8491, 1433-8491
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