中国中医药信息杂志2024，Vol.31Issue(10)：157-163,7.DOI:10.19879/j.cnki.1005-5304.202404096
原发性高血压肝阳上亢证的决策树模型研究
Study on Decision Tree Model of Hyperactive Liver Yang Syndrome in Patients with Essential Hypertension
摘要
Abstract
Objective To construct a diagnostic model based on the information of the TCM four diagnoses in hyperactive liver yang syndrome in patients with essential hypertension.Methods Syndromic investigation was carried out in patients with essential hypertension in some hospitals in Fujian and Beijing,and diagnostic information such as age,gender,symptoms,tongue and pulse were collected.On the basis of statistical analysis,this study adopted C5.0,CRT,CHAID and QUEST decision tree models respectively.After evaluating the stability and performance consistency of the models,the accuracy of the models was measured by diagnostic rate,and the optimal model of hyperactivity of liver yang in essential hypertension was selected.Results Totally 533 patients with essential hypertension were included,including 198 patients with hyperactive liver yang syndrome and 335 patients without hyperactive liver yang syndrome.The diagnostic rates of the four models were 75.2%,66.2%,67.7%and 65.0%,respectively.The diagnostic efficiency of C5.0 was better than that of CRT,CHAID and QUEST models."Aggravation after emotional excitement,poor complexion,string-like pulse,irritability,head swelling pain,bitter mouth,heavy pulse,fatigue,dark tongue,irritability,dizziness,thin pulse,yellow fur"could be regarded as the specific items of the syndrome model of hyperactive liver yang in essential hypertension.Conclusion The C5.0 decision tree model can clearly and intuitively identify the hyperactive liver yang syndrome in essential hypertension patients based on clinical TCM four diagnostic information data,and summarize diagnostic rules.关键词
原发性高血压/肝阳上亢证/决策树/C5.0Key words
essential hypertension/hyperactive liver yang syndrome/decision tree/C5.0分类
医药卫生引用本文复制引用
苏祥飞,林国晟,李洪峥,栗梦凡,余维,轩碧焓,商祖诚,沈阿灵,彭军..原发性高血压肝阳上亢证的决策树模型研究[J].中国中医药信息杂志,2024,31(10):157-163,7.基金项目
国家自然科学基金联合基金重点支持项目(U22A20372) （U22A20372）
