Your browser doesn't support javascript.
loading
Machine Learning Algorithm to Estimate Distant Breast Cancer Recurrence at the Population Level with Administrative Data.
Izci, Hava; Macq, Gilles; Tambuyzer, Tim; De Schutter, Harlinde; Wildiers, Hans; Duhoux, Francois P; de Azambuja, Evandro; Taylor, Donatienne; Staelens, Gracienne; Orye, Guy; Hlavata, Zuzana; Hellemans, Helga; De Rop, Carine; Neven, Patrick; Verdoodt, Freija.
Afiliación
  • Izci H; KU Leuven - University of Leuven, Department of Oncology, Leuven, B-3000, Belgium.
  • Macq G; Belgian Cancer Registry, Research Department, Brussels, Belgium.
  • Tambuyzer T; Belgian Cancer Registry, Research Department, Brussels, Belgium.
  • De Schutter H; Belgian Cancer Registry, Research Department, Brussels, Belgium.
  • Wildiers H; KU Leuven - University of Leuven, Department of Oncology, Leuven, B-3000, Belgium.
  • Duhoux FP; University Hospitals Leuven, Multidisciplinary Breast Center, Leuven, B-3000, Belgium.
  • de Azambuja E; Department of Medical Oncology, King Albert II Cancer Institute, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
  • Taylor D; Institut Jules Bordet and l'Université Libre de Bruxelles (U.L.B), Brussels, Belgium.
  • Staelens G; CHU UCL Namur, Site Sainte-Elisabeth, Namur, Belgium.
  • Orye G; Multidisciplinary Breast Center, General Hospital Groeninge, Kortrijk, Belgium.
  • Hlavata Z; Department of Obstetrics and Gynecology, Jessa Hospital, Hasselt, Belgium.
  • Hellemans H; Department of Medical Oncology, CHR Mons-Hainaut, Mons, Hainaut, Belgium.
  • De Rop C; Department of Obstetrics and Gynaecology, AZ Delta, Roeselaere, Belgium.
  • Neven P; Department of Obstetrics and Gynaecology, Imelda Hospital, Bonheiden, Belgium.
  • Verdoodt F; KU Leuven - University of Leuven, Department of Oncology, Leuven, B-3000, Belgium.
Clin Epidemiol ; 15: 559-568, 2023.
Article en En | MEDLINE | ID: mdl-37180565

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Epidemiol Año: 2023 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Epidemiol Año: 2023 Tipo del documento: Article País de afiliación: Bélgica