Estimating survival benefit of adjuvant therapy based on a Bayesian network prediction model in cura

• 作 者: Zhi-Min Geng Zhi-Qiang Cai Zhe
• 机 构: DepartmentofHepatobiliarySurgery,DepartmentofIndustrialEngineering,DepartmentofGeneralSurgery
• 出 处: 世界胃肠病学杂志:英文版
• 发表日期: 2019年37期
• 关键词: GALLBLADDER CARCINOMA BAYESIAN network Surgery ADJUVANT therapy Prediction model
• 基金项目: the National Natural Science Foundation of China,No.81572420 and No.71871181,the Key Research and Development Program of Shaanxi Province,No.2017ZDXM-SF-055,and the Multicenter Clinical Research Proje

BACKGROUND The factors affecting the prognosis and role of adjuvant therapy in advanced gallbladder carcinoma(GBC)after curative resection remain unclear.AIM To provide a survival prediction model to patients with GBC as well as to identify the role of ad