Study on the Relationship between the TCM Syndromes and Neurological Impairment of Stroke

XU Junfeng1; GAO Ying2; WANG Zhenhua3; HOU Zhongsheng3; LIU Chao3; ZHANG Yanxin3

doi:10.13288/j.11-2166/r.2010.06.032

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Study on the Relationship between the TCM Syndromes and Neurological Impairment of Stroke

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- Study on the Relationship between the TCM Syndromes and Neurological Impairment of Stroke
- Journal of Traditional Chinese Medicine Vol. 51, Issue 6, Pages: 540-543(2010)
- 作者机构：
  
  1. 中国康复研究中心北京博爱医院中西医结合康复科
  2. 北京中医药大学东直门医院神经内科
  3. 北京交通大学
- 作者简介：
- 基金信息：
- DOI：10.13288/j.11-2166/r.2010.06.032
  CLC： R255.2
- Published：2010
- 稿件说明：
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[1]徐俊峰,高颖,王振华,侯忠生,刘超,张严心.中风病证候与神经功能缺损程度的关系[J].中医杂志,2010,51(06):540-543.

XU Junfeng1, GAO Ying2, WANG Zhenhua3, et al. Study on the Relationship between the TCM Syndromes and Neurological Impairment of Stroke[J]. Journal of Traditional Chinese Medicine2010, 51(6): 540-543.
[1]徐俊峰,高颖,王振华,侯忠生,刘超,张严心.中风病证候与神经功能缺损程度的关系[J].中医杂志,2010,51(06):540-543. DOI： 10.13288/j.11-2166/r.2010.06.032.

XU Junfeng1, GAO Ying2, WANG Zhenhua3, et al. Study on the Relationship between the TCM Syndromes and Neurological Impairment of Stroke[J]. Journal of Traditional Chinese Medicine2010, 51(6): 540-543. DOI： 10.13288/j.11-2166/r.2010.06.032.

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。

Abstract

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.

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Related Institution

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