Evaluation of explainable machine learning models for predicting mid-term stone recurrence after percutaneous nephrolithotomy: a retrospective observational cohort study.
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| Title: | Evaluation of explainable machine learning models for predicting mid-term stone recurrence after percutaneous nephrolithotomy: a retrospective observational cohort study. |
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| Authors: | Kose MG; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey. vensyou@gmail.com., Altay D; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey., Guler A; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey., Kardas S; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey., Taskin V; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey., Arslan B; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey., Ozdemir E; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey. |
| Source: | International urology and nephrology [Int Urol Nephrol] 2026 Mar 25. Date of Electronic Publication: 2026 Mar 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Netherlands NLM ID: 0262521 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2584 (Electronic) Linking ISSN: 03011623 NLM ISO Abbreviation: Int Urol Nephrol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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