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Predicting second breast cancer among women with primary breast cancer using machine learning algorithms, a population-based observational study.
Syleouni, Maria-Eleni; Karavasiloglou, Nena; Manduchi, Laura; Wanner, Miriam; Korol, Dimitri; Ortelli, Laura; Bordoni, Andrea; Rohrmann, Sabine.
Afiliação
  • Syleouni ME; Division of Chronic Disease Epidemiology, Epidemiology Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
  • Karavasiloglou N; Cancer Registry Zurich, Zug, Schaffhausen and Schwyz, University Hospital Zurich, Zurich, Switzerland.
  • Manduchi L; Division of Chronic Disease Epidemiology, Epidemiology Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
  • Wanner M; European Food Safety Authority, Parma, Italy.
  • Korol D; Medical Data Science, ETH Zurich, Zurich, Switzerland.
  • Ortelli L; Cancer Registry Zurich, Zug, Schaffhausen and Schwyz, University Hospital Zurich, Zurich, Switzerland.
  • Bordoni A; Cancer Registry Zurich, Zug, Schaffhausen and Schwyz, University Hospital Zurich, Zurich, Switzerland.
  • Rohrmann S; Ticino Cancer Registry, Public Health Division of Canton Ticino, Locarno, Switzerland.
Int J Cancer ; 153(5): 932-941, 2023 Sep 01.
Article em En | MEDLINE | ID: mdl-37243372
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Int J Cancer Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Int J Cancer Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça