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中风病急性期计算机辨证系统的实现与评价
引用本文:张志枫,沈永军,许家佗,赵泽华,张瑾,史美育,严竹娟,朱扣云. 中风病急性期计算机辨证系统的实现与评价[J]. 上海中医药大学学报, 2006, 20(3): 17-19
作者姓名:张志枫  沈永军  许家佗  赵泽华  张瑾  史美育  严竹娟  朱扣云
作者单位:上海中医药大学,上海,201203;上海中医药大学,上海,201203;上海中医药大学,上海,201203;上海中医药大学,上海,201203;上海中医药大学,上海,201203;上海中医药大学,上海,201203;上海中医药大学,上海,201203;上海中医药大学,上海,201203
基金项目:上海市高等学校科学技术发展基金
摘    要:目的:建立中风病急性期计算机辨证系统。方法:基于“与”、“或”、“非”等逻辑关系,应用Mi-crosoftVisualBasic语言,自主开发中风病急性期计算机辨证系统;采用Kappa分析,评价计算机与人工对159例中风急性期病例辨证分型结果的一致性。结果:Kappa分析表明,Kappa值为0.888(Kappa值检验,P<0.05),提示计算机辨证与人工辨证的结果有极好的一致性。结论:中风病急性期计算机辨证系统对急性中风病辨证分型的性能良好。

关 键 词:中风病  计算机技术  辨证  评价
文章编号:1008-861X(2006)03-0017-03
收稿时间:2006-05-26
修稿时间:2006-05-26

Realization and Evaluation of Computer System on Syndrome Differentiation of Traditional Chinese Medicine in Acute Stroke
ZHANG Zhi-feng,SHEN Yong-jun,XU Jia-tuo,ZHAO Ze-hua,ZHANG Jin,SHI Mei-yu,YAN Zhu-juan,ZHU Kou-yun. Realization and Evaluation of Computer System on Syndrome Differentiation of Traditional Chinese Medicine in Acute Stroke[J]. Acta Universitatis Traditionis Medicalis Sinensis Pharmacologiaeque Shanghai, 2006, 20(3): 17-19
Authors:ZHANG Zhi-feng  SHEN Yong-jun  XU Jia-tuo  ZHAO Ze-hua  ZHANG Jin  SHI Mei-yu  YAN Zhu-juan  ZHU Kou-yun
Affiliation:ZHANG Zhi-feng SHEN Yong-jun XU Jia-tuo ZHAO Ze-hua ZHANG Jin SHI Mei-yu YAN Zhu-juan ZHU Kou-yun Shanghai University of Traditional Chinese Medicine
Abstract:Objective: To set up the computer system on syndrome differentiation of traditional Chinese medicine in acute stroke disease. Methods: Based on the logical relationship of "and", "or", "not", using Microsoft Visual Basic 6.0 language to design and realize the computer system of syndrome differentiation and classification in acute stroke in traditional Chinese medicine. Analysis method Kappa was used to evaluate the correspondence degrees between the results from the computer and manual diagnosis in 159 acute stroke patients. Results: The value of Kappa is 0.888(P < 0.05), which indicated that the results of syndrome differentiation from the computer and from the doctors were extremely matched. Conclusion: The computer system has the characteristics of high efficiency and high accuracy on syndrome differentiation in acute stroke.
Keywords:Stroke disease  technology of computer  syndrome differentiation  evaluation
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