APA (7th ed.) Citation

MG, K., D, A., A, G., S, K., V, T., B, A., & E, O. (2026). Evaluation of explainable machine learning models for predicting mid-term stone recurrence after percutaneous nephrolithotomy: A retrospective observational cohort study. International urology and nephrology. https://doi.org/10.1007/s11255-026-05107-2

Chicago Style (17th ed.) Citation

MG, Kose, Altay D, Guler A, Kardas S, Taskin V, Arslan B, and Ozdemir E. "Evaluation of Explainable Machine Learning Models for Predicting Mid-term Stone Recurrence After Percutaneous Nephrolithotomy: A Retrospective Observational Cohort Study." International Urology and Nephrology 2026. https://doi.org/10.1007/s11255-026-05107-2.

MLA (9th ed.) Citation

MG, Kose, et al. "Evaluation of Explainable Machine Learning Models for Predicting Mid-term Stone Recurrence After Percutaneous Nephrolithotomy: A Retrospective Observational Cohort Study." International Urology and Nephrology, 2026, https://doi.org/10.1007/s11255-026-05107-2.