HIGHLIGHTS
- What: In light of these advancements, the authors aimed to predict the development of postoperative urethral stricture by evaluating the data obtained from preoperative blood parameters with different machine_learning algorithms in patients undergoing TUR-P for BPH.
- Who: Emre Altıntaş from the Faculty of Medicine, Department of Urology, Selcuk University, Tıp Fakültesi Alaeddin Keykubat Yerleşkesi Selçuklu, Konya, Turkey have published the paper: Machine learning algorithm predicts urethral stricture following transurethral prostate resection, in the Journal: (JOURNAL)
- How: Machine learning To predict urethral stricture development post-TUR-P for . . .
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