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
10.3969/j.issn.1005-5304.2017.12.022
- VernacularTitle: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
- Author:
Hang LV
1
;
Jian DU
;
Yuan LIU
;
Hao WANG
Author Information
1. 南京中医药大学
- Keywords:
diabetes mellitus complicated with coronary heart disease;
TCM personality;
TCM constitutions;
multilayer perception model;
artificial neural network;
prediction model
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2017;24(12):88-91
- CountryChina
- Language:Chinese
-
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.
