摘要
决策树是一种从数据中归纳规则的方法。利用决策树从290例血瘀证病例中自动地提取相应的诊断规则,得到决策树分类模型并归纳出5条血瘀证的诊断规则,对194例血瘀证病例测试结果为:阳性检测正确率、阴性检测正确率和检测正确率分别达到97.67%9、9.07%和98.45%。实验结果表明决策树能自动从中医病例中归纳诊断规则。
Decision tree is a method to induce rules from data. In this paper, decision tree was applied to self-extract diagnostic rules from 290 patient records related to blood stasis syndrome. Thus the decision tree classification model was obtained and five diagnostic rules were induced from the model. Applying these rules to classify 194 patient records,the results were 97.67% of sensitivity, 99.07% of specificity and 98.45% of accuracy. The experimental results show that the decision tree method is likely a promising method to self-extract diagnostic rules from patient records of Chinese medicine.
出处
《中国生物医学工程学报》
EI
CAS
CSCD
北大核心
2005年第6期709-711,727,共4页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(30000218
90209011)
国家中医药管理局科研基金重点资助项目(2000-J-Z-03)
关键词
决策树
血瘀证
诊断规则
数据挖掘
decision tree
blood stasis syndrome
diagnostic rules
data mining