Machine learning methods to predict outcomes of pharmacological treatment in psychosis

In recent years, machine learning (ML) has been a promising approach in the research of treatment outcome prediction in psychosis. In this study, we reviewed ML studies using different neuroimaging, neurophysiological, genetic, and clinical features to predict antipsychotic treatment outcomes in pat...

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Detalles Bibliográficos
Autores principales: Del Fabro, Lorenzo, Bondi, Elena, Serio, Francesca, Maggioni, Eleonora, D’Agostino, Armando, Brambilla, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981732/
https://www.ncbi.nlm.nih.gov/pubmed/36864017
http://dx.doi.org/10.1038/s41398-023-02371-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9981732/
https://www.ncbi.nlm.nih.gov/pubmed/36864017
http://dx.doi.org/10.1038/s41398-023-02371-z

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