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Data Mining in Urology: Understanding Real-world Treatment Pathways for Lower Urinary Tract Systems via Exploration of Big Data.
Binder, Nadine; Dette, Holger; Franz, Julia; Zöller, Daniela; Suarez-Ibarrola, Rodrigo; Gratzke, Christian; Binder, Harald; Miernik, Arkadiusz.
Afiliação
  • Binder N; Institute of General Practice/Family Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany. Electronic address: nadine.binder@uniklinik-freiburg.de.
  • Dette H; Department of Mathematics, Ruhr University Bochum, Bochum, Germany.
  • Franz J; Department of Urology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Zöller D; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Suarez-Ibarrola R; Department of Urology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Gratzke C; Department of Urology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Binder H; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Miernik A; Department of Urology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Eur Urol Focus ; 8(2): 391-393, 2022 03.
Article em En | MEDLINE | ID: mdl-35414493
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Humans / Male 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: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article