引用本文:辛世超,赵玉虹.基于SEER数据库的结直肠癌预后因素探讨及预后模型构建[J].中华医学图书情报杂志,2017,26(11):7-13.
基于SEER数据库的结直肠癌预后因素探讨及预后模型构建
Prognostic factors of colorectal cancer and establishment of colorectal cancer prognosis model
DOI:10.3969/j.issn.1671-3982.2017.11.002
中文关键词:  结直肠癌  预后模型  特征选择  logistic逐步回归法  LASSO回归  贝叶斯模型平均法
英文关键词:Colorectal cancer  Prognosis model  Selection of characteristics  Logistic regression analysis  LASSO regression analysis  Bayesian model averaging analysis
基金项目:2017年度国家重点研发计划“精准医学”重点专项“东北区域自然人群队列研究”(2017YFC0907400)
作者单位
辛世超 中国医科大学医学信息学院,辽宁 沈阳 110122 
赵玉虹 中国医科大学医学信息学院,辽宁 沈阳 110122中国医科大学附属盛京医院辽宁 沈阳 110004 
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中文摘要:
      分别使用logistic逐步回归法、贝叶斯模型平均法和LASSO回归进行特征变量筛选,分析美国SEER数据库的预后数据,探讨影响结直肠癌预后的相关因素,并应用人工神经网络分类算法构建预后模型,指导结直肠癌预后评价。结果证明,贝叶斯模型平均法结合人工神经网络的混合算法所构建的预后模型准确率最高。
英文摘要:
      The factors influencing the prognosis of colorectal cancer were studied after its characteristic variables were screened by stepwise logistic regression analysis, Bayesian model averaging analysis, and LASSO regression analysis respectively. A model of colorectal cancer prognosis was established according to the artificial neural network classification algorithm for the assessment of colorectal cancer. The highest accuracy was detected in the model of colorectal cancer prognosis established by Bayesian model averaging analysis combined with artificial neural network classification algorithm.
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