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Development and Validation of Machine Learning Models for Risk Prediction of Postpartum Stress Urinary Incontinence: A Prospective Observational Study

Crossref DOI link: https://doi.org/10.1007/s00192-025-06057-6

Published Online: 2025-01-30

Published Print: 2025-06

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

Authors

Wang, Liyun

Wang, Nana

zhang, Minghui

Liu, Yujia

Sha, Kaihui
Funding

Funding for this research was provided by:

The Graduate Quality Education and Teaching Resources Project of Shandong Province (SDYKC2022177)
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Text and Data Mining valid from 2025-01-30

Version of Record valid from 2025-01-30
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Article History

Received: 15 October 2024

Accepted: 2 January 2025

First Online: 30 January 2025

Declarations

:

: The protocol was approved by the Ethics Committee of Binzhou Medical University (No. 2023–381).

: The authors declare that they have no conflict of interest.

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