A machine learning approach to predict progression on active surveillance for prostate cancer.

Nayan, Madhur; Salari, Keyan; Bozzo, Anthony; Ganglberger, Wolfgang; Lu, Gordan; Carvalho, Filipe; Gusev, Andrew; Schneider, Adam; Westover, Brandon M; Feldman, Adam S

Nayan, Madhur; Salari, Keyan; Bozzo, Anthony; Ganglberger, Wolfgang; Lu, Gordan; Carvalho, Filipe; Gusev, Andrew; Schneider, Adam; Westover, Brandon M; Feldman, Adam S.

Afiliación

Nayan M; Department of Urology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: mnayan@mgh.harvard.edu.
Salari K; Department of Urology, Massachusetts General Hospital, Boston, Massachusetts; Broad Institute of Harvard and MIT, Cambridge, Massachusetts.
Bozzo A; Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, Ontario, Canada.
Ganglberger W; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Lu G; Department of Urology, Massachusetts General Hospital, Boston, Massachusetts.
Carvalho F; Department of Urology, Massachusetts General Hospital, Boston, Massachusetts.
Gusev A; Department of Urology, Massachusetts General Hospital, Boston, Massachusetts.
Schneider A; Department of Urology, Massachusetts General Hospital, Boston, Massachusetts.
Westover BM; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts.
Feldman AS; Department of Urology, Massachusetts General Hospital, Boston, Massachusetts.

Urol Oncol ; 40(4): 161.e1-161.e7, 2022 04.

Article en En | MEDLINE | ID: mdl-34465541

Asunto(s)

Neoplasias de la Próstata; Espera Vigilante; Humanos; Modelos Logísticos; Aprendizaje Automático; Masculino; Neoplasias de la Próstata/diagnóstico; Estudios Retrospectivos

Palabras clave

Active surveillance; Artificial intelligence; Machine learning; Progression; Prostatic neoplasm

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neoplasias de la Próstata / Espera Vigilante Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans / Male Idioma: En Revista: Urol Oncol Asunto de la revista: NEOPLASIAS / UROLOGIA Año: 2022 Tipo del documento: Article

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