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改进的BP神经网络在糖尿病危险因素分析中的应用
引用本文:王美,刘泱.改进的BP神经网络在糖尿病危险因素分析中的应用[J].教育技术导刊,2008,7(4):64-66.
作者姓名:王美  刘泱
作者单位:武汉理工大学计算机科学与技术学院 湖北武汉430070
摘    要:以某综合性医院收集的调查资料为基础,探讨改进的BP人工神经网络在2型糖尿病(DM)发病危险因素中的应用特点。用BP网络作为拟合模型,按网络输出的平均影响值(MIV)的绝对值大小对各危险因素进行排序,并与Logistic回归分析结果进行了比较。

关 键 词:BP人工神经网络  2型糖尿病  平均影响值  危险因素

The Application of Modified BP Neural Network in the Analysis of DM Risk Factors
Wang Mei Liu Yang.The Application of Modified BP Neural Network in the Analysis of DM Risk Factors[J].Introduction of Educational Technology,2008,7(4):64-66.
Authors:Wang Mei Liu Yang
Institution:Wang Mei Liu Yang
Abstract:To explore the applied characteristics of modified BP neural network on the study of risk factors for type 2 DM based on data gathered from some general hospital.With back-propagation neural network as fitting model,the risk factors are sorted according to the absolute MIVs were caculated,and the results were compared with BP algorithm.Improved BP neural network can deal with the collinearity between covariable apreferably,and resolve the disadvantage of traditional BP algorithm.It has the unique advantage over the Logistic regression analysis.
Keywords:BP Neural Network  DM  Mean Impact Value  Risk Factor
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