Clinical Data Prediction Model to Identify Patients With Early-Stage Pancreatic Cancer.

Chen, Qinyu; Cherry, Daniel R; Nalawade, Vinit; Qiao, Edmund M; Kumar, Abhishek; Lowy, Andrew M; Simpson, Daniel R; Murphy, James D

Chen, Qinyu; Cherry, Daniel R; Nalawade, Vinit; Qiao, Edmund M; Kumar, Abhishek; Lowy, Andrew M; Simpson, Daniel R; Murphy, James D.

Afiliação

Chen Q; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA.
Cherry DR; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA.
Nalawade V; School of Medicine, University of California San Diego, La Jolla, CA.
Qiao EM; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA.
Kumar A; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA.
Lowy AM; School of Medicine, University of California San Diego, La Jolla, CA.
Simpson DR; Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA.
Murphy JD; School of Medicine, University of California San Diego, La Jolla, CA.

JCO Clin Cancer Inform ; 5: 279-287, 2021 03.

Article em En | MEDLINE | ID: mdl-33739856

Assuntos

Detecção Precoce de Câncer; Neoplasias Pancreáticas; Registros Eletrônicos de Saúde; Humanos; Aprendizado de Máquina; Neoplasias Pancreáticas/diagnóstico; Valor Preditivo dos Testes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Detecção Precoce de Câncer Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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