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. 2025 Jun 19;53(1):120.
doi: 10.1007/s00240-025-01792-3.

Development and validation of a machine learning-based prediction model for urinary calculi recurrence

Jiangkun Guo  1   2 , Jinhang Zhang  1   2 , Jinxiao Zhang  1   2 , Changbao Xu  1   2 , Xikun Wang  1   2 , Changwei Liu  3   4
Affiliations

Development and validation of a machine learning-based prediction model for urinary calculi recurrence

Jiangkun Guo et al. Urolithiasis. .
No abstract available

Keywords: LASSO feature selection; Machine learning algorithms; Metabolic parameter analysis; SHAP interpretable framework; Urinary calculi recurrence.

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Conflict of interest statement

Declarations. Conflict of interest: The authors declare that they have no conflicts of interest. Ethical approval: All procedures performed in this study 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. Informed consent: Informed consent was obtained from all individual participants.

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