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Development and validation of a machine learning-based prediction model for inpatient fall risk: an informatics solution for empowering precision nursing decision-making

Crossref DOI link: https://doi.org/10.1186/s12911-026-03761-1

Published Online: 2026-08-13

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

Authors

Li, Ya

Ma, JiPeng https://orcid.org/0009-0009-2967-9495
Zhang, LinLin
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Text and Data Mining valid from 2026-08-13

Accepted Manuscript valid from 2026-08-13
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Article History

Received: 17 September 2025

Accepted: 7 August 2026

First Online: 13 August 2026

Declarations

Ethics approval and consent to participate: This retrospective study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of The First Medical Center of Chinese PLA General Hospital (Approval No: 2021KY031-HS001). The requirement for informed consent was waived by the above ethics committee due to the retrospective nature of the study, in accordance with national regulations.

Consent for publication: Not applicable. This manuscript does not contain any individual person’s data in any form.

Competing interests: The authors declare no competing interests.

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