Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder

Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder

Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated...

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Bibliographic Details
Main Authors: Anmella, G. (Author), de Bartolomeis, A. (Author), De Prisco, M. (Author), Fabbri, C. (Author), Fanelli, G. (Author), Fico, G. (Author), Fornaro, M. (Author), Grande, I. (Author), Guzmán, P. (Author), Hidalgo-Mazzei, D. (Author), Iasevoli, F. (Author), Murru, A. (Author), Oliva, V. (Author), Pons-Cabrera, M.T (Author), Serretti, A. (Author), Vieta, E. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
alcohol use disorder
bipolar disorder
cannabis use disorder
machine learning
substance use disorder
Online Access:View Fulltext in Publisher

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