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多层感知器模型在中医人格、体质预测糖尿病性冠心病患病风险中的应用研究

吕航 杜渐 刘媛 王昊

中国中医药信息杂志2017,Vol.24Issue(12):88-91,4.
中国中医药信息杂志2017,Vol.24Issue(12):88-91,4.DOI:10.3969/j.issn.1005-5304.2017.12.022

多层感知器模型在中医人格、体质预测糖尿病性冠心病患病风险中的应用研究

Study on Application of Multilayer Perceptron Model in Prediction of the Risk of Diabetes Mellitus Complicated with Coronary Heart Disease by TCM Personality and Constitutions

吕航 1杜渐 2刘媛 3王昊2

作者信息

  • 1. 南京中医药大学,江苏 南京 210023
  • 2. 中国中医科学院,北京 100700
  • 3. 江苏省中西医结合医院,江苏 南京 210028
  • 折叠

摘要

Abstract

Objective To explore the prediction efficiency of multilayer perception (MLP) model in prediction of diabetes mellitus (DM) complicated with coronary heart disease (CHD) by TCM personality and constitutions; To provide a new method for objective prediction. Methods This research utilized single factor logistic regression to filter out variables, which were significant factors of TCM personality and constitutions as analytic variables for MLP and multivariate logistic regression to establish TCM prediction model of personality and constitutions for DM complicated with CHD. The prediction efficiency of the above models were tested by receiver operating characteristic curve (ROC curve). Results The sensitivity, specificity and AUC of MLP were 0.915 (0.862, 0.968), 0.846 (0.793, 0.912) and 0.913 (0.806, 0.987) respectively, which was better than the logistic regression, while these indexes of logistic regression were 0.834 (0.695, 0.953), 0.762 (0.623, 0.901), and 0.869 (0.730, 0.941) respectively. Conclusion The MLP model is better than logistic regression model in prediction of DM complicated with CHD by TCM personality and constitutions.

关键词

糖尿病性冠心病/中医人格/中医体质/多层感知器模型/人工神经网络/预测模型

Key words

diabetes mellitus complicated with coronary heart disease/TCM personality/TCM constitutions/multilayer perception model/artificial neural network/prediction model

分类

医药卫生

引用本文复制引用

吕航,杜渐,刘媛,王昊..多层感知器模型在中医人格、体质预测糖尿病性冠心病患病风险中的应用研究[J].中国中医药信息杂志,2017,24(12):88-91,4.

基金项目

国家自然科学基金青年基金(81403501) (81403501)

北京市自然科学基金面上项目(7172249) (7172249)

北京市自然科学基金预探索项目(7163236) (7163236)

北京中医药科技发展资金项目(JJ2015-50) (JJ2015-50)

中国中医科学院中医药"一带一路"合作专项(ZZ-10-018-04) (ZZ-10-018-04)

中国中医药信息杂志

OACSCDCSTPCD

1005-5304

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