Machine learning v. traditional regression models predicting treatment outcomes for binge-eating disorder from a randomized controlled trial

BACKGROUND: While effective treatments exist for binge-eating disorder (BED), prediction of treatment outcomes has proven difficult, and few reliable predictors have been identified. Machine learning is a promising method for improving the accuracy of difficult-to-predict outcomes. We compared the a...

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Detalles Bibliográficos
Autores principales: Forrest, Lauren N., Ivezaj, Valentina, Grilo, Carlos M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130342/
https://www.ncbi.nlm.nih.gov/pubmed/34819195
http://dx.doi.org/10.1017/S0033291721004748

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130342/
https://www.ncbi.nlm.nih.gov/pubmed/34819195
http://dx.doi.org/10.1017/S0033291721004748

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