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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41880132 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Evaluation of explainable machine learning models for predicting mid-term stone recurrence after percutaneous nephrolithotomy: a retrospective observational cohort study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kose+MG%22">Kose MG</searchLink>; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey. vensyou@gmail.com.<br /><searchLink fieldCode="AU" term="%22Altay+D%22">Altay D</searchLink>; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Guler+A%22">Guler A</searchLink>; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Kardas+S%22">Kardas S</searchLink>; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Taskin+V%22">Taskin V</searchLink>; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Arslan+B%22">Arslan B</searchLink>; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey.<br /><searchLink fieldCode="AU" term="%22Ozdemir+E%22">Ozdemir E</searchLink>; Department of Urology, Gaziosmanpasa Training and Research Hospital, Karayolları Mah Osmanbey Cad 621. Sok 34255, Gaziosmanpasa, Istanbul, Turkey. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220262521%22">International urology and nephrology</searchLink> [Int Urol Nephrol] 2026 Mar 25. <i>Date of Electronic Publication: </i>2026 Mar 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>0262521 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1573-2584 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203011623%22">03011623 </searchLink><i>NLM ISO Abbreviation: </i>Int Urol Nephrol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41880132 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11255-026-05107-2 Languages: – Code: eng Text: English Titles: – TitleFull: Evaluation of explainable machine learning models for predicting mid-term stone recurrence after percutaneous nephrolithotomy: a retrospective observational cohort study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kose MG – PersonEntity: Name: NameFull: Altay D – PersonEntity: Name: NameFull: Guler A – PersonEntity: Name: NameFull: Kardas S – PersonEntity: Name: NameFull: Taskin V – PersonEntity: Name: NameFull: Arslan B – PersonEntity: Name: NameFull: Ozdemir E IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 03 Text: 2026 Mar 25 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1573-2584 Titles: – TitleFull: International urology and nephrology Type: main |
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