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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Cambridge University Press
2023
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| 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 |