[Efficacy of machine learning models <i>versus</i> Cox regression model for predicting prognosis of esophagogastric junction adenocarcinoma].

Gao, K; Wang, Y; Cao, H; Jia, J

[Efficacy of machine learning models versus Cox regression model for predicting prognosis of esophagogastric junction adenocarcinoma].

Gao, K; Wang, Y; Cao, H; Jia, J.

Afiliação

Gao K; Department of Surgical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
Wang Y; Department of Surgical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
Cao H; Department of Surgical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.
Jia J; Department of Surgical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu 233000, China.

Nan Fang Yi Ke Da Xue Xue Bao ; 43(6): 952-963, 2023 Jun 20.

Article em Zh | MEDLINE | ID: mdl-37439167

Assuntos

Adenocarcinoma; Humanos; Prognóstico; Aprendizado de Máquina; Junção Esofagogástrica

Palavras-chave

Cox proportional hazard regression model; artificial intelligence; esophagogastric junction adenocarcinoma; machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Adenocarcinoma Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: Zh Revista: Nan Fang Yi Ke Da Xue Xue Bao Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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