郑州大学学报（医学版）Issue(2)：180-183,4.DOI:10.13705/j.issn.1671-6825.2014.02.011
人工神经网络模型在2型糖尿病患病风险预测中的应用
Application of artificial neural network to predict individual risk of type 2 diabetes mellitus
摘要
Abstract
Aim:To explore the potential application of artificial neural network ( ANN) on type 2 diabetes mellitus (T2DM), and then to develop an effective and inexpensive prediction approach .Methods:A cross-sectional survey was conducted.Out of 8 640 subjects who met inclusion criteria, 75%(n1 =6 480) were randomly selected to provide training set for constructing ANN and multivariate logistic regression ( MLR) models.The remaining 25%( n2 =2 160 ) were as-signed to validation set for performance comparisons of the ANN and MLR models .Predictive performance of different mod-els was analyzed by the receiver operating characteristic (ROC) curve using the validation set.Results:For ANN model, the sensitivity, specificity, positive and negative predictive values for identifying T 2DM were 86.93(81.41-91.29)%, 79.14(77.18-81.02)%, 31.86(28.60-35.03)%, and 98.18(97.37-98.81)%, respectively, while MLR model were only 62.81(55.73 -69.47)%, 71.70(69.52 -73.79)%, 19.94(17.00 -22.99)%, and 94.50(93.32 -95.57)%, respectively.AUC(95%CI) value for identifying T2DM when using the ANN model was 0.891(0.877 -0.905), showing more accurate predictive performance than the MLR model [AUC(95%CI)=0.742(0.722-0.763)]. Conclusion:The ANN model has a better discriminated performance than MLR model in the prediction of risk of T 2DM.关键词
2型糖尿病/人工神经网络/logistic回归/预测模型Key words
type 2 diabetes mellitus/artificial neural network/logistic regression/prediction model分类
医药卫生引用本文复制引用
郭奕瑞,李玉倩,王高帅,刘晓田,张路宁,张红艳,王炳源,王重建..人工神经网络模型在2型糖尿病患病风险预测中的应用[J].郑州大学学报（医学版）,2014,(2):180-183,4.基金项目
国家自然科学基金资助项目 U1204823，U1304821；中国博士后特别资助基金资助项目201104401 （）
