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The use of an artificial neural network in the evaluation of the extracorporeal shockwave lithotripsy as a treatment of choice for urinary lithiasis.
Tsitsiflis, Athanasios; Kiouvrekis, Yiannis; Chasiotis, Georgios; Perifanos, Georgios; Gravas, Stavros; Stefanidis, Ioannis; Tzortzis, Vassilios; Karatzas, Anastasios.
Afiliação
  • Tsitsiflis A; Department of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Kiouvrekis Y; Department of Public and Integrated Health, University of Thessaly, Karditsa, Greece.
  • Chasiotis G; Business School, University of Nicosia, Nicosia, Cyprus.
  • Perifanos G; Department of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Gravas S; Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Stefanidis I; Department of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Tzortzis V; Department of Nephrology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • Karatzas A; Department of Urology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
Asian J Urol ; 9(2): 132-138, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35509481
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article