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Approximately 70% of participants could be accurately classified as with or without recurrent binge eating.
Practitioners can use this classification accuracy to identify individuals at risk for recurrent binge eating.
StrongSupportsmedium confidence
Approximately 70% of participants could be accurately classified as with or without recurrent binge eating.
Why this rating
Based on the analysis of data from 1,341 participants.
Source
Interactions between different eating patterns on recurrent binge‐eating behavior: A machine learning approach
Jake Linardon et al. · International Journal of Eating Disorders · 2020
DOI 10.1002/eat.23232
cross-sectional · n=1341Cited 29×
Read the paper DOI resolved against Crossref · corpus check 2026-06-10
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