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Development and validation of a machine learning-based fall-related injury risk prediction model using nationwide claims database in Korean community-dwelling older population

Crossref DOI link: https://doi.org/10.1186/s12877-023-04523-8

Published Online: 2023-12-11

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

Authors

Heo, Kyu-Nam

Seok, Jeong Yeon

Ah, Young-Mi

Kim, Kwang-il

Lee, Seung-Bo

Lee, Ju-Yeun
Funding

Funding for this research was provided by:

National Research Foundation of Korea (2020R1A2C110097111)

Creative-Pioneering Researchers Program
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Text and Data Mining valid from 2023-12-11

Version of Record valid from 2023-12-11
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Article History

Received: 5 April 2023

Accepted: 27 November 2023

First Online: 11 December 2023

Declarations

:

: This study was approved by the Seoul National University Institutional Review Board (IRB No. E2212/004-007). The need for informed consent was waived by the Seoul National University Review Board, as only de-identified information was provided with no linkable data elements. All methods were carried out in accordance with the declaration of Helsinki.

: Not applicable.

: The authors declare no competing interests.

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