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Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis.

Yaoxiang RenChaoyi LuHan YangQianyue MaWesley R BarnhartJianjun ZhouJinbo He
Published in: Journal of eating disorders (2022)
Body image inflexibility, psychological distress, and body dissatisfaction were identified as the major classifiers for young women in China at high risk of EDs. Researchers and practitioners may consider these findings in the screening, prevention, and treatment of EDs among young women in China.
Keyphrases
  • primary care
  • machine learning
  • deep learning
  • decision making