Artificial neural network model for the prediction of obsessive-compulsive disorder treatment response / Giuliana Salomoni en Journal of Clinical Psychopharmacology, Año 2009 - Vol. 29 - No. 4 (Agosto)

Público ISBD [artículo]  inJournal of Clinical Psychopharmacology > Año 2009 - Vol. 29 - No. 4 (Agosto) . - pp. 343-349 Título : Artificial neural network model for the prediction of obsessive-compulsive disorder treatment response Tipo de documento: texto impreso Autores: Giuliana Salomoni, Autor ; Massimiliano Grassi, Autor ; Paola Mosini, Autor Fecha de publicación: 2022 Artículo en la página: pp. 343-349 Idioma : Inglés (eng) Idioma original : Inglés (eng) Palabras clave: Trastorno obsesivo compulsivo, Predictores de tratamiento, Redes neuronales, Modelos previsionales, Regresión logística, Complejidad Resumen: Several patients with obsessive-compulsive disorder (OCD) who are refractory to adequate treatment with first-line treatments are considered treatment-resistant. Further surveys were to be implemented to explore the outcome predictors of the antiobsessional response. Link: ./index.php?lvl=notice_display&id=29496 [artículo] Artificial neural network model for the prediction of obsessive-compulsive disorder treatment response [texto impreso] / Giuliana Salomoni, Autor ; Massimiliano Grassi, Autor ; Paola Mosini, Autor . - 2022 . - pp. 343-349. Idioma : Inglés (eng) Idioma original : Inglés (eng) in Journal of Clinical Psychopharmacology > Año 2009 - Vol. 29 - No. 4 (Agosto) . - pp. 343-349 Palabras clave: Trastorno obsesivo compulsivo, Predictores de tratamiento, Redes neuronales, Modelos previsionales, Regresión logística, Complejidad Resumen: Several patients with obsessive-compulsive disorder (OCD) who are refractory to adequate treatment with first-line treatments are considered treatment-resistant. Further surveys were to be implemented to explore the outcome predictors of the antiobsessional response. Link: ./index.php?lvl=notice_display&id=29496

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