Machine learning algorithm predicts urethral stricture following transurethral prostate resection.

Journal: World journal of urology
PMID: 38748256

Abstract

PURPOSE: To predict the post transurethral prostate resection(TURP) urethral stricture probability by applying different machine learning algorithms using the data obtained from preoperative blood parameters.

Authors

  • Emre Altıntaş
    Faculty of Medicine, Department of Urology, Selcuk University, Tıp Fakültesi Alaeddin Keykubat Yerleşkesi Selçuklu, Konya, 42131, Turkey. dr.e.altintas@gmail.com.
  • Ali Şahin
    Faculty of Medicine, Selcuk University, Konya, Turkey.
  • Huseyn Babayev
    Faculty of Medicine, University of Zurich, Zurich, Switzerland.
  • Murat Gül
    Faculty of Medicine, Department of Urology, Selcuk University, Tıp Fakültesi Alaeddin Keykubat Yerleşkesi Selçuklu, Konya, 42131, Turkey.
  • Ali Furkan Batur
    Faculty of Medicine, Department of Urology, Selcuk University, Tıp Fakültesi Alaeddin Keykubat Yerleşkesi Selçuklu, Konya, 42131, Turkey.
  • Mehmet Kaynar
    Faculty of Medicine, Department of Urology, Selcuk University, Tıp Fakültesi Alaeddin Keykubat Yerleşkesi Selçuklu, Konya, 42131, Turkey.
  • Özcan Kılıç
    Faculty of Medicine, Department of Urology, Selcuk University, Tıp Fakültesi Alaeddin Keykubat Yerleşkesi Selçuklu, Konya, 42131, Turkey.
  • Serdar Göktaş
    Faculty of Medicine, Department of Urology, Selcuk University, Tıp Fakültesi Alaeddin Keykubat Yerleşkesi Selçuklu, Konya, 42131, Turkey.

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