Machine learning <i>v.</i> traditional regression models predicting treatment outcomes for binge-eating disorder from a randomized controlled trial.
| Author | |
|---|---|
| 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
|
| Number of Pages |
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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
|
| DOI |
:
10.1017/S0033291721004748
|
| Short Title |
:
Psychol Med
|
| Download citation |
