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Interpretable machine learning for classification and risk factor identification of anxiety, depression, and insomnia symptoms after the full opening of China’s COVID-19 lockdown

Crossref DOI link: https://doi.org/10.1186/s12888-025-07569-7

Published Online: 2025-11-14

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

Authors

Li, Zhihao

Li, Jinfeng

Zhang, Anqi

Liu, Pengpeng

Su, Guanli

Wang, Zidan

Zhang, Yujing

Wang, Yujie

Wu, Hao

Ma, Yuxia

Ge, Jun

Liu, Mengyang
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Text and Data Mining valid from 2025-11-14

Version of Record valid from 2025-11-14
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Article History

Received: 28 May 2025

Accepted: 28 October 2025

First Online: 14 November 2025

Declarations

:

: The study was conducted according with the Declaration of Helsinki. All participants signed informed consent. This study was approved by the Ethics Committee of Hebei Medical University (2023001).

: Not applicable.

: The authors declare no competing interests.

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