Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment

PURPOSE OF REVIEW: This review will cover the most relevant findings on the use of machine learning (ML) techniques in the field of non-affective psychosis, by summarizing the studies published in the last three years focusing on illness detection and treatment. RECENT FINDINGS: Multiple ML tools th...

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Detalles Bibliográficos
Autores principales: Ferrara, Maria, Franchini, Giorgia, Funaro, Melissa, Cutroni, Marcello, Valier, Beatrice, Toffanin, Tommaso, Palagini, Laura, Zerbinati, Luigi, Folesani, Federica, Murri, Martino Belvederi, Caruso, Rosangela, Grassi, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Complex Medical-Psychiatric Issues (M Riba, Section Editor)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780131/
https://www.ncbi.nlm.nih.gov/pubmed/36399236
http://dx.doi.org/10.1007/s11920-022-01399-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9780131/
https://www.ncbi.nlm.nih.gov/pubmed/36399236
http://dx.doi.org/10.1007/s11920-022-01399-0

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