#9121. Machine learning to advance the prediction, prevention and treatment of eating disorders

August 2026publication date
Proposal available till 22-05-2025
4 total number of authors per manuscript3510 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Clinical Psychology;
Psychiatry and Mental Health;
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Abstract:
Machine learning approaches are just emerging in eating disorders research. Promising early results suggest that such approaches may be a particularly promising and fruitful future direction. However, there are several challenges related to the nature of eating disorders in building robust, reliable and clinically meaningful prediction models. This article aims to provide a brief introduction to machine learning and to discuss several such challenges, including issues of sample size, measurement, imbalanced data and bias; I also provide concrete steps and recommendations for each of these issues.
Keywords:
computational methods; eating disorders; machine learning; prediction

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