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Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm.
Ledger, Ashleigh; Ceusters, Jolien; Valentin, Lil; Testa, Antonia; Van Holsbeke, Caroline; Franchi, Dorella; Bourne, Tom; Froyman, Wouter; Timmerman, Dirk; Van Calster, Ben.
Afiliação
  • Ledger A; Department of Development and Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000, Belgium.
  • Ceusters J; Department of Development and Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000, Belgium.
  • Valentin L; Department of Oncology, Leuven Cancer Institute, Laboratory of Tumor Immunology and Immunotherapy, KU Leuven, Leuven, Belgium.
  • Testa A; Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö, Sweden.
  • Van Holsbeke C; Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.
  • Franchi D; Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
  • Bourne T; Dipartimento Universitario Scienze della Vita e Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy.
  • Froyman W; Department of Obstetrics and Gynecology, Ziekenhuis Oost-Limburg, Genk, Belgium.
  • Timmerman D; Preventive Gynecology Unit, Division of Gynecology, European Institute of Oncology IRCCS, Milan, Italy.
  • Van Calster B; Department of Development and Regeneration, KU Leuven, Herestraat 49 box 805, Leuven, 3000, Belgium.
BMC Med Res Methodol ; 23(1): 276, 2023 11 24.
Article em En | MEDLINE | ID: mdl-38001421
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Limite: Female / Humans Idioma: En Revista: BMC Med Res Methodol Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Limite: Female / Humans Idioma: En Revista: BMC Med Res Methodol Ano de publicação: 2023 Tipo de documento: Article