Machine learning <i>v.</i> traditional regression models predicting treatment outcomes for binge-eating disorder from a randomized controlled trial.
| Author | |
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| Abstract | :
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 accuracy of traditional and machine-learning approaches for predicting BED treatment outcomes. |
| Year of Publication | :
2021
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| Journal | :
Psychological medicine
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| Number of Pages | :
1-12
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| Date Published | :
2021
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| ISSN Number | :
0033-2917
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| URL | :
https://www.cambridge.org/core/product/identifier/S0033291721004748/type/journal_article
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| DOI | :
10.1017/S0033291721004748
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| Short Title | :
Psychol Med
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