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...

Descripción completa

Detalles Bibliográficos
Autores principales: Raffaelli, L., Colombo, F., Calesella, F., Fortaner-Uya, L., Bollettini, I., Lorenzi, C., Maggioni, E., Tassi, E., Poletti, S., Zanardi, R., Attanasio, F., Benedetti, F., Vai, B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Abstract
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661075/
http://dx.doi.org/10.1192/j.eurpsy.2023.1292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661075/
http://dx.doi.org/10.1192/j.eurpsy.2023.1292

Ejemplares similares