Predictability of varicocele repair success: preliminary results of a machine learning-based approach.

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Title: Predictability of varicocele repair success: preliminary results of a machine learning-based approach.
Authors: Crafa A; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy., Russo M; Department of Physics and Astronomy, University of Catania, Catania 95123, Italy.; INFN-Section of Catania, Catania 95123, Italy., Cannarella R; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy.; Department of Urology, Glickman Urological and Kidney Institute, Cleveland Clinic Foundation, Cleveland, OH 44195, USA., Gül M; Department of Urology, Selcuk University School of Medicine, Konya 42750, Türkiye., Compagnone M; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy., Mongioì LM; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy., Cannarella V; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy., Condorelli RA; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy., Vignera S; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy., Calogero AE; Department of Clinical and Experimental Medicine, University of Catania, Catania 95123, Italy.
Source: Asian journal of andrology [Asian J Androl] 2025 Jan 01; Vol. 27 (1), pp. 52-58. Date of Electronic Publication: 2024 Aug 09.
Publication Type: Journal Article
Journal Info: Publisher: Shanghai Materia Medica Country of Publication: China NLM ID: 100942132 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1745-7262 (Electronic) Linking ISSN: 1008682X NLM ISO Abbreviation: Asian J Androl Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1745-7262
DOI:10.4103/aja202438