Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop Methodologies

OBJECTIVES: Machine learning (ML) and natural language processing have great potential to improve efficiency and accuracy in diagnosis, treatment recommendations, predictive interventions, and scarce resource allocation within psychiatry. Researchers often conceptualize such an approach as operating...

Descripción completa

Detalles Bibliográficos
Autores principales: Chandler, Chelsea, Foltz, Peter W, Elvevåg, Brita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Theme: Translating Natural Language Processing (NLP) into mainstream schizophrenia assessment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434423/
https://www.ncbi.nlm.nih.gov/pubmed/35639561
http://dx.doi.org/10.1093/schbul/sbac038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9434423/
https://www.ncbi.nlm.nih.gov/pubmed/35639561
http://dx.doi.org/10.1093/schbul/sbac038

Ejemplares similares