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

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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
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  Data: Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods.
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  Data: <searchLink fieldCode="AU" term="%22Sungur+U%22">Sungur U</searchLink>; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye - ubeydsungur@gmail.com.<br /><searchLink fieldCode="AU" term="%22Bitkin+A%22">Bitkin A</searchLink>; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye.<br /><searchLink fieldCode="AU" term="%22Ekşi+M%22">Ekşi M</searchLink>; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye.<br /><searchLink fieldCode="AU" term="%22Polat+H%22">Polat H</searchLink>; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye.<br /><searchLink fieldCode="AU" term="%22Taşçi+AI%22">Taşçi AI</searchLink>; Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, University of Health Sciences, Istanbul, Türkiye.
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  Data: <searchLink fieldCode="JN" term="%22101777299%22">Minerva urology and nephrology</searchLink> [Minerva Urol Nephrol] 2026 Apr; Vol. 78 (2), pp. 232-240. <i>Date of Electronic Publication: </i>2026 Jan 12.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Edizioni+Minerva+Medica%22">Edizioni Minerva Medica </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>101777299 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2724-6442 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227246051%22">27246051 </searchLink><i>NLM ISO Abbreviation: </i>Minerva Urol Nephrol <i>Subsets: </i>MEDLINE
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        Value: 10.23736/S2724-6051.25.06385-2
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      – Code: eng
        Text: English
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      – TitleFull: Machine learning methods for predicting early recurrence in Ta stage bladder cancer and comparison with conventional statistical methods.
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            – D: 01
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              Text: 2026 Apr
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