【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。更多还原

【Abstract】 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.更多还原