[The survival prediction model of advanced gallbladder cancer based on Bayesian network: a multi-institutional study].

Tang, Z H; Geng, Z M; Chen, C; Si, S B; Cai, Z Q; Song, T Q; Gong, P; Jiang, L; Qiu, Y H; He, Y; Zhai, W L; Li, S P; Zhang, Y C; Yang, Y

Tang, Z H; Geng, Z M; Chen, C; Si, S B; Cai, Z Q; Song, T Q; Gong, P; Jiang, L; Qiu, Y H; He, Y; Zhai, W L; Li, S P; Zhang, Y C; Yang, Y.

Tang ZH; Department of General Surgery, Shanghai Xin Hua Hospital Affiliated to School of Medicine, Shanghai Jiaotong University, Shanghai 200092, China.

Zhonghua Wai Ke Za Zhi ; 56(5): 342-349, 2018 May 01.

Article en Zh | MEDLINE | ID: mdl-29779309

Asunto(s)

Teorema de Bayes; Neoplasias de la Vesícula Biliar; Estadificación de Neoplasias; Anciano; Femenino; Neoplasias de la Vesícula Biliar/diagnóstico; Neoplasias de la Vesícula Biliar/cirugía; Humanos; Masculino; Persona de Mediana Edad; Pronóstico; Estudios Retrospectivos; Tasa de Supervivencia

Palabras clave

Bayesian network; Gallbladder neoplasm; Prognosis; Survival prediction model

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Teorema de Bayes / Neoplasias de la Vesícula Biliar / Estadificación de Neoplasias Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: Zh Año: 2018 Tipo del documento: Article

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