基于Logistic回归分析的中风常用中成药适宜人群识别的示范性研究
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摘要
目的:应用Logistic回归分析研究中风常用中成药适宜人群的临床特征。方法:查询电子处方集系统,筛选应用量最大的前3种中成药,对常用中成药适宜人群,进行望、闻、问、切直接采集数据,录入数据进行统计分析,利用Logistic回归分析建立数学模型,分析模型对临床特征分类的预测能力。结果:筛选出应用量最大的前3种中成药为灯盏生脉胶囊、银杏叶滴丸、强力天麻杜仲胶囊,共纳入203例受试者,利用Logistic回归分析构建了数学模型,对3种中成药组测试集进行预测,判别正确率分别为81.82%、77.78%和78.13%,总判别正确率为79.21%。结论:利用Logistic回归分析构建中成药适宜人群的数学模型,对3种中成药适宜人群临床特征有良好的识别效果。
Objective:To investigate the recognition of clinical features of proper population of Chinese patent medicine commonly used in stroke by Logistic regression.Methods:The first 3 Chinese patent medicines with the largest number of applications have been screened by inquiring of electronic medical records.Patients' data of the proper population for 3 Chinese patent medicines is collected by Inspection,Auscultation-Olfaction,Inquiry and Pulse-taking-Palpation which are four diagnostic methods of Chinese medicine.The logistic regression is performed to construct the mathematic model for the proper population of Chinese patent medicine commonly used in stroke.Results:The first 3 Chinese patent medicines with the largest number of applications are Erigeron Shengmai Capsule,Ginkgo biloba drop pills and Powerful Gastrodia Eucommia Capsule.The mathematic model is constructed by Logistic regression for 203 subjects.The recognition accuracy for 3 groups of Chinese patent medicines are 81.82%,77.78% and 78.13%respectively.Total recognition accuracy is 79.21%.Conclusion:The recognition accuracy of the mathematic model for proper population of Chinese patent medicine constructed by logistic regression is satisfied.
Objective:To investigate the recognition of clinical features of proper population of Chinese patent medicine commonly used in stroke by Logistic regression.Methods:The first 3 Chinese patent medicines with the largest number of applications have been screened by inquiring of electronic medical records.Patients' data of the proper population for 3 Chinese patent medicines is collected by Inspection,Auscultation-Olfaction,Inquiry and Pulse-taking-Palpation which are four diagnostic methods of Chinese medicine.The logistic regression is performed to construct the mathematic model for the proper population of Chinese patent medicine commonly used in stroke.Results:The first 3 Chinese patent medicines with the largest number of applications are Erigeron Shengmai Capsule,Ginkgo biloba drop pills and Powerful Gastrodia Eucommia Capsule.The mathematic model is constructed by Logistic regression for 203 subjects.The recognition accuracy for 3 groups of Chinese patent medicines are 81.82%,77.78% and 78.13%respectively.Total recognition accuracy is 79.21%.Conclusion:The recognition accuracy of the mathematic model for proper population of Chinese patent medicine constructed by logistic regression is satisfied.
引文
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[2]储秋萍,冯琳,戴惠珍,等.2007年长江流域157家医院心脑血管类中成药的利用分析[J].中国新药与临床杂志,2008,27(10):775.
[3]高素强,赵展荣,贺鹏.卫生部北京医院治疗心血管疾病中成药处方分析[J].中国全科医学,2005,8(16):1336.
[4]中华神经科学会,中华神经外科学会.各类脑血管疾病诊断要点[J].中华神经科杂志,1996,29(6):379-380.
[5]国家中医药管理局脑病急症协作组.中风病诊断与疗效评定标准(试行)[J].北京中医药大学学报,1996,19(1):55-56.
[6]沈自尹,王文健.中医虚证辨证参考标准[J].中西医结合杂志,1986(10):598.
[7]第二届全国活血化瘀研究学术会议.修订血瘀证诊断标准[J].中西医结合杂志,1987,7(3):129.
[8]国家中医药管理局专业技术资格考试专家委员会.2006年全国临床中医学中西医结合医学、中药学、中医护理学专业技术资格考试大纲与指南[M].北京:中国中医药出版社,2006:1340-1345.
[9]关玉琴,周彩虹,刘建宁.西医开具中成药处方存在的问题分析[J].临床合理用药,2010,3(13):61.