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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| Auteurs principaux: | , , , , , , , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Cambridge University Press
2023-03-01
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| Collection: | European Psychiatry |
| Accès en ligne: | https://www.cambridge.org/core/product/identifier/S0924933823012920/type/journal_article |
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