Combining Breast Cancer Risk Prediction Models.

Guan, Zoe; Huang, Theodore; McCarthy, Anne Marie; Hughes, Kevin; Semine, Alan; Uno, Hajime; Trippa, Lorenzo; Parmigiani, Giovanni; Braun, Danielle

Guan, Zoe; Huang, Theodore; McCarthy, Anne Marie; Hughes, Kevin; Semine, Alan; Uno, Hajime; Trippa, Lorenzo; Parmigiani, Giovanni; Braun, Danielle.

Afiliação

Guan Z; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY 10017, USA.
Huang T; Vertex Pharmaceuticals, Boston, MA 02210, USA.
McCarthy AM; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Hughes K; Department of Surgery, Medical University of South Carolina, Charleston, SC 29425, USA.
Semine A; Advanced Image Enhancement, Fall River, MA 02720, USA.
Uno H; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Trippa L; Department of Medicine, Harvard Medical School, Boston, MA 02115, USA.
Parmigiani G; Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Braun D; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.

Cancers (Basel) ; 15(4)2023 Feb 08.

Article em En | MEDLINE | ID: mdl-36831433

Palavras-chave

BCRAT; BRCAPRO; ensemble learning; model aggregation; stacking

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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