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Development of an interpretable machine learning model-based online tool for risk prediction of falls and fall-related injuries in Chinese middle-aged and older adults with depressive symptoms-a longitudinal study based on the CHARLS database

Crossref DOI link: https://doi.org/10.1186/s12889-026-27754-x

Published Online: 2026-05-22

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

Authors

Yuan, Mei

Bi, Siran

Chen, Ziyi

Fan, Xiaoli

Chen, Xiyu

Shen, Kun
License Information

Text and Data Mining valid from 2026-05-22

Version of Record valid from 2026-07-16
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Article History

Received: 29 January 2026

Accepted: 8 May 2026

First Online: 22 May 2026

Declarations

Ethics approval and consent to participate: CHARLS received ethical approval from the Institution Review Board of Peking University (IRB00001052-11015) and declared that its research strictly adheres to the principles of the Declaration of Helsinki. Each respondent who agreed to participate in the survey was offered written informed consent.

Consent of publication: All authors approved the final manuscript and the submission to this journal.

Competing interests: The authors declare no competing interests.

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