计算机工程与应用2019，Vol.55Issue(3)：225-230,6.DOI:10.3778/j.issn.1002-8331.1710-0089
利用决策树建立慢性阻塞性肺病中医诊断模型
Using K-L Divergence Based Decision Tree to Build Traditional Chinese Medicine Diagnosis Model on COPD
摘要
Abstract
Chronic Obstructive Pulmonary Disease(COPD)is a progressive disease that makes patients hard to breathe and affects their quality of life. Spirometry is the main way to confirm the diagnosis of COPD.In order to reduce some unnecessary examinations and rebuild the harmonious relationship between doctors and patients. This work adopts the K-L divergence based decision tree to build classification model on the collected clinical dataset and uses this model to screen the patients from the point of view of traditional chinese medical. This experiment compars with three other classic decision trees including ID3, C4.5 and CART across F-Measure, G-Mean, AUROC and AUPRC respectively. The experimental results show that the proposed decision tree obtains the best result among the other classic decision trees and the corre-sponding values of F-Measure, G-Mean, AUROC and AUPRC are 0.92, 0.894, 0.907 and 0.9. Finally, the proposed decision tree is applied to clinic of TCM. The AUROC of the proposed method reaches 0.823, which achieves expected effect.关键词
决策树/KL距离/非平衡数据集/慢性阻塞性肺病/中医Key words
decision tree/K-L divergence/imbalanced datasets/Chronic Obstructive Pulmonary Disease(COPD)/Tradi-tional Chinese medicine分类
信息技术与安全科学引用本文复制引用
苏翀,任曈,王国品,殷杰..利用决策树建立慢性阻塞性肺病中医诊断模型[J].计算机工程与应用,2019,55(3):225-230,6.基金项目
国家自然科学基金(No.61074147) （No.61074147）
广东省自然科学基金(No.S2011010005059) （No.S2011010005059）
广东省教育部产学研结合项目(No.2012B091000171,No.2011B090400460) （No.2012B091000171,No.2011B090400460）
广东省科技计划项目(No.2012B050600028,No.2014B010118004, No.2016A050502060) （No.2012B050600028,No.2014B010118004, No.2016A050502060）
广州市花都区科技计划项目(No.HD14ZD001) （No.HD14ZD001）
广州市科技计划项目(No.201604016055). （No.201604016055）
