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Prediction of early postoperative complications and transfusion risk after lumbar spinal stenosis surgery in geriatric patients: machine learning approach based on comprehensive geriatric assessment

Crossref DOI link: https://doi.org/10.1186/s12911-025-03125-1

Published Online: 2025-07-28

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

Authors

Rhee, Wounsuk

Chang, Sam Yeol

Chang, Bong-Soon

Kim, Hyoungmin
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Text and Data Mining valid from 2025-07-28

Version of Record valid from 2025-07-28
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Article History

Received: 25 April 2025

Accepted: 21 July 2025

First Online: 28 July 2025

Declarations

:

: All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Approval from the Institutional Review Board of Seoul National University College of Medicine and Seoul National University Hospital was obtained (Approval No.: H-1504-122-668), and informed consent was received from each participant upon enrollment to the study.

: Not applicable.

: The authors declare no competing interests.

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