Treatment response prediction in major depressive disorder using multimodal mri and clinical data: secondary analysis of a randomized clinical trial / Maarten G. Poirot en The American Journal of Psychiatry, Año 2024 - Vol. 181 - No. 3 (Marzo)

Público ISBD [artículo]  inThe American Journal of Psychiatry > Año 2024 - Vol. 181 - No. 3 (Marzo) . - pp. 223-233 Título : Treatment response prediction in major depressive disorder using multimodal mri and clinical data: secondary analysis of a randomized clinical trial Tipo de documento: texto impreso Autores: Maarten G. Poirot, Autor ; Henricus G. Ruhe, Autor ; Henk Jan M.M. Mutsaerts, Autor Fecha de publicación: 2024 Artículo en la página: pp. 223-233 Idioma : Inglés (eng) Idioma original : Inglés (eng) Palabras clave: Trastorno depresivo mayor, Aprendizaje automático, Antidepresivos, ISRS Resumen: Response to antidepressant treatment in major depressive disorder varies substantially between individuals, which lengthens the process of finding effective treatment. The authors sought to determine whether a multimodal machine learning approach could predict early sertraline response in patients with major depressive disorder. They assessed the predictive contribution of MR neuroimaging and clinical assessments at baseline and after 1 week of treatment. Link: ./index.php?lvl=notice_display&id=31354 [artículo] Treatment response prediction in major depressive disorder using multimodal mri and clinical data: secondary analysis of a randomized clinical trial [texto impreso] / Maarten G. Poirot, Autor ; Henricus G. Ruhe, Autor ; Henk Jan M.M. Mutsaerts, Autor . - 2024 . - pp. 223-233. Idioma : Inglés (eng) Idioma original : Inglés (eng) in The American Journal of Psychiatry > Año 2024 - Vol. 181 - No. 3 (Marzo) . - pp. 223-233 Palabras clave: Trastorno depresivo mayor, Aprendizaje automático, Antidepresivos, ISRS Resumen: Response to antidepressant treatment in major depressive disorder varies substantially between individuals, which lengthens the process of finding effective treatment. The authors sought to determine whether a multimodal machine learning approach could predict early sertraline response in patients with major depressive disorder. They assessed the predictive contribution of MR neuroimaging and clinical assessments at baseline and after 1 week of treatment. Link: ./index.php?lvl=notice_display&id=31354

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