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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

Crossref DOI link: https://doi.org/10.1186/s40337-022-00545-6

Published Online: 2022-02-10

Published Print: 2022-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ren, Yaoxiang

Lu, Chaoyi

Yang, Han

Ma, Qianyue

Barnhart, Wesley R.

Zhou, Jianjun

He, Jinbo https://orcid.org/0000-0002-2785-9371
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Text and Data Mining valid from 2022-02-10

Version of Record valid from 2022-02-10
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Article History

Received: 6 September 2021

Accepted: 27 January 2022

First Online: 10 February 2022

Declarations

:

: This study received ethical approval from the institutional review board of the Chinese University of Hong Kong, Shenzhen, and informed consent was presented to all participants.

: Not applicable.

: The authors declare that they have no competing interests.

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