Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods.

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Bibliographic Details
Title: Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods.
Authors: Sungur U; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye - ubeydsungur@gmail.com., Bitkin A; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye., Ekşi M; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye., Polat H; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye., Taşçi AI; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye.
Source: Minerva urology and nephrology [Minerva Urol Nephrol] 2026 Apr; Vol. 78 (2), pp. 232-240. Date of Electronic Publication: 2026 Jan 12.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Edizioni Minerva Medica Country of Publication: Italy NLM ID: 101777299 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2724-6442 (Electronic) Linking ISSN: 27246051 NLM ISO Abbreviation: Minerva Urol Nephrol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2724-6442
DOI:10.23736/S2724-6051.25.06385-2