Assessing the severity of positive valence symptoms in initial psychiatric evaluation records: Should we use convolutional neural networks?

BACKGROUND AND OBJECTIVE: Efficiently capturing the severity of positive valence symptoms could aid in risk stratification for adverse outcomes among patients with psychiatric disorders and identify optimal treatment strategies for patient subgroups. Motivated by the success of convolutional neural...

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Detalles Bibliográficos
Autores principales: Dai, Hong-Jie, Jonnagaddala, Jitendra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191093/
https://www.ncbi.nlm.nih.gov/pubmed/30325934
http://dx.doi.org/10.1371/journal.pone.0204493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191093/
https://www.ncbi.nlm.nih.gov/pubmed/30325934
http://dx.doi.org/10.1371/journal.pone.0204493

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