摘要
目的采用数据挖掘方法研究中风病证候与神经功能缺损程度的关系。方法提取建立在中风病临床采集系统基础上的缺血性中风的临床数据,通过应用SPSS12.0和遗传算法验证中风病证候诊断量表和美国国立卫生研究院卒中量表(NIHSS)之间是否存在线性关系,若不存在线性关系,则通过使用多层前馈(BP)神经网络、学习向量化(LVQ)神经网络、模糊自适应映射(FuzzyARTMAP)神经网络、支持向量机(SVM),验证两者之间的非线性关系。结果通过应用SPSS12.0和遗传算法,验证了中风病证候诊断量表和NIHSS之间不存在线性关系,通过使用BP神经网络、LVQ神经网络、FuzzyARTMAP神经网络、SVM验证两者之间存在复杂的非线性关系。结论中风病证候诊断量表和NIHSS之间存在复杂的非线性关系。
Objective To study on the relationship between the TCM Syndromes and neurological impairment of stroke patients.Methods The clinical data of ischemic stroke which based on the clinical information collecting platform was extracted to test whether there was a linear relationship between the Criterion for Diagnosis and Differentiation of Syndromes of Stroke (CDDSS) and National Institutes of Health Stroke Scale (NIHSS) by means of SPSS 12.0 and genetic algorithm.If there was not a linear relationship between CDDSS and NIHSS,the nonlinear relationship was to be tested by means of BP nerve net,LVQ nerve net,Fuzzy ARTMAP nerve net and Support Vector Machine (SVM).Results There was no linear relationship existed between CDDSS and NIHSS with the application of SPSS 12.0 and genetic algorithm.There existed a complicated nonlinear relationship between CDDSS and NIHSS by using BP nerve net,LVQ nerve net,Fuzzy ARTMAP nerve net and Support Vector Machine (SVM).Conclusion Between CDDSS and NIHSS,there isn't a linear relationship,but a complicated nonlinear relationship.
出处
《中医杂志》
CSCD
北大核心
2010年第6期540-543,共4页
Journal of Traditional Chinese Medicine
基金
国家重点基础研究发展计划("973"计划)资助项目(2003CB517102)
北京市科技计划项目(H020920010220)