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Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer.
Sabbagh, Ali; Washington, Samuel L; Tilki, Derya; Hong, Julian C; Feng, Jean; Valdes, Gilmer; Chen, Ming-Hui; Wu, Jing; Huland, Hartwig; Graefen, Markus; Wiegel, Thomas; Böhmer, Dirk; Cowan, Janet E; Cooperberg, Matthew; Feng, Felix Y; Roach, Mack; Trock, Bruce J; Partin, Alan W; D'Amico, Anthony V; Carroll, Peter R; Mohamad, Osama.
Afiliação
  • Sabbagh A; Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA, USA.
  • Washington SL; Department of Urology, University of California-San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California-San Francisco, San Francisco, CA, USA.
  • Tilki D; Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
  • Hong JC; Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA, USA.
  • Feng J; Department of Epidemiology and Biostatistics, University of California-San Francisco, San Francisco, CA, USA.
  • Valdes G; Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA, USA.
  • Chen MH; Department of Statistics, University of Connecticut, Storrs, CT, USA.
  • Wu J; Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, USA.
  • Huland H; Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
  • Graefen M; Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
  • Wiegel T; Department of Radio Oncology, University Hospital Ulm, Ulm, Germany.
  • Böhmer D; Department of Radiation Oncology, Charité University Hospital, Berlin, Germany.
  • Cowan JE; Department of Urology, University of California-San Francisco, San Francisco, CA, USA.
  • Cooperberg M; Department of Urology, University of California-San Francisco, San Francisco, CA, USA; Department of Epidemiology and Biostatistics, University of California-San Francisco, San Francisco, CA, USA.
  • Feng FY; Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA, USA; Department of Urology, University of California-San Francisco, San Francisco, CA, USA.
  • Roach M; Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA, USA.
  • Trock BJ; Division of Epidemiology, Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore, MD, USA.
  • Partin AW; Department of Urology, Brady Urological Institute, Johns Hopkins Medical Institution, Baltimore, MD, USA.
  • D'Amico AV; Department of Radiation Oncology, Brigham and Women's Hospital and Dana Farber Cancer Institute, Boston, MA, USA.
  • Carroll PR; Department of Urology, University of California-San Francisco, San Francisco, CA, USA.
  • Mohamad O; Department of Radiation Oncology, University of California-San Francisco, San Francisco, CA, USA; Department of Urology, University of California-San Francisco, San Francisco, CA, USA. Electronic address: osama.mohamad@ucsf.edu.
Eur Urol Oncol ; 6(5): 501-507, 2023 Oct.
Article em En | MEDLINE | ID: mdl-36868922
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article