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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
Research article (Journal of Eating Disorders, 2022) · cited 26× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-to-explore-core-risk-factors-associated-with-the-risk-of-eating-disorders-among-non-clinical-youn
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-machine-learning-to-explore-core-risk-factors-associated-with-the-risk-of-eating-disorders-among-non-clinical-youn.
BibTeX@misc{4ortxyz_using-machine-learning-to-explore-core-risk-factors-associated-with-the-risk-of-eating-disorders-among-non-clinical-youn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-to-explore-core-risk-factors-associated-with-the-risk-of-eating-disorders-among-non-clinical-youn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/using-machine-learning-to-explore-core-risk-factors-associated-with-the-risk-of-eating-disorders-among-non-clinical-youn (retrieved 2026-05-24)