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154例中风病人证候信息的评价分析

Evaluation and Analysis of Sign Information of 154 Apoplexy Cases

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【作者】 王冠军梁俊雄

【Author】 Wang Guanjun,et al(The Second Affiliated Hospital of SunYat-sen University,Guangzhou 510120)

【机构】 中山大学附属第二医院中山大学附属第二医院 广州510120广州510120

【摘要】 中医辨证的过程是以中医理论为基础,根据临床的证候表现,推断出证型的过程。辨证中证候与证是局部与整体的关系,性质上是分形。信息量是反映分形关系也就是局部与整体相似程度的一个重要参数,也具有自相似性。运用信息评价分析的方法计算154例中风病人证候的诊断贡献率,在此基础上,根据参数建立一个自变量-证候(x)和应变量-证(y)的数学模型,为今后辨证的现代化、计量化、智能化提供了方法。

【Abstract】 Syndrome differentiation in Traditional Chinese Medicine is a process that doctor conclude syndrome according to symptoms and signs,based on the theory of Traditional Chinese Medicine.The relationship between syndrome and symptoms is similar with that of part and entirety,which possess the character of Fractal.Amount of information reflects parameter of Fractal which represents similarity between part and entirety.This paper calculated contribution rates of 154 apoplexy cases with the message analysis method.Thus,we can establish mathematic model with independent variable(x) as sign and corresponding variable(y ) as syndrome with this parameter,which open a new way for the modernization of traditional Chinese Medicine.

【基金】 国家科技十五攻关项目《急性缺血中风辨证规范和疗效评价的示范研究》(编号:2004BA721A02)资助
  • 【文献出处】 数理医药学杂志 ,Journal of Mathematical Medicine , 编辑部邮箱 ,2007年01期
  • 【分类号】R255.2
  • 【被引频次】2
  • 【下载频次】85
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