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中医心病Logistic回归分析 被引量:1

Logistic Regression Analysis on Heart Diseases of Traditional Chinese Medicine
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摘要 目的:为中医心病证研究提供客观的研究数据。方法:选择古代及近现代中医医家的医案,建立中医医案数据库,采用非条件Logistic多元逐步回归法筛选变量,P<0.05。结果:筛选出中医心病常见的临床证型、病因或病理结果、症状和临床用药的Logistic回归结果,并定量表达了这些病因或病理结果、症状、用药的重要性大小。结论:总结心病的发病规律(包括临床证型、病因或病理结果)、症状特点、用药规律,同时反推和证实了中医心的功能。 Objective:To offer objective data for diagnosing, preventing and treating of heart diseases in clinic. Methods:Selec- ting the clinical cases of the famous doctors in the archaic and modem history of Traditional Chinese Medicine,a clinical cases da- tabase of Traditional Chinese Medicine was founded, Non-conditional Logistic multivariate regression was employed to screen vari- ables stepwisely, P 〈 O. 05. Results : Obtaining data of the common clinical syndromes, pathogeneses or pathological results, symp- toms and Chinese medicinal herbs of heart diseases, and the importance of the pathogeneses or pathological results, symptoms, and Chinese medicinal herbs were demonstrated quantitatively. Conclusion:According to the statistical results, attacking laws (inclu- ding the clinical syndromes and pathogeneses or pathological results), symptom characteristics, Chinese medicinal herbs of heart diseases were summarized. From the data of Logistic regression of heart diseases ,the physiological functions of heart in Traditional Chinese Medicine were also inferred and testified.
出处 《辽宁中医杂志》 CAS 北大核心 2011年第3期396-398,共3页 Liaoning Journal of Traditional Chinese Medicine
基金 国家自然科学基金资助项目(30873247) 济宁医学院青年基资助项目
关键词 心病 医案数据库 统计分析 LOGISTIC回归 heart disease clinical cases database of traditional chinese medicine statistics analysis logistic regression
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