Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study

Introduction About 60% of bipolar disorder (BD) cases are initially misdiagnosed as major depressive disorder (MDD), preventing BD patients from receiving appropriate treatment. An urgency exists to identify reliable biomarkers for improving differential diagnosis (DD). Machine learning methods may...

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Bibliografische Detailangaben

Hauptverfasser:	L. Raffaelli, F. Colombo, F. Calesella, L. Fortaner-Uya, I. Bollettini, C. Lorenzi, E. Maggioni, E. Tassi, S. Poletti, R. Zanardi, F. Attanasio, F. Benedetti, B. Vai
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Cambridge University Press 2023-03-01
Schriftenreihe:	European Psychiatry
Online-Zugang:	https://www.cambridge.org/core/product/identifier/S0924933823012920/type/journal_article
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