ASO Author Reflections: Use of the Survival Recurrent Network for Prediction of Overall Survival in Patients with Gastric Cancer.

Oh, Sung Eun; Choi, Min-Gew; Seo, Sung Wook

Oh, Sung Eun; Choi, Min-Gew; Seo, Sung Wook.

Afiliação

Oh SE; Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Choi MG; Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. mingew.choi@samsung.com.
Seo SW; Department of Orthopedic Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea. sungwook.seo@samsung.com.

Ann Surg Oncol ; 26(Suppl 3): 539-540, 2019 Dec.

Article em En | MEDLINE | ID: mdl-30539490

Assuntos

Algoritmos; Recidiva Local de Neoplasia/mortalidade; Nomogramas; Neoplasias Gástricas/mortalidade; Simulação por Computador; Humanos; Recidiva Local de Neoplasia/patologia; Prognóstico; Neoplasias Gástricas/patologia; Taxa de Sobrevida

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Algoritmos / Nomogramas / Recidiva Local de Neoplasia Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

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