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著名中医学家林兰教授学术经验系列之五 辟秽降浊防传变养阴生津贵润燥——治疗糖尿病乳酸性酸中毒的经验 被引量:1
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作者 倪青 《辽宁中医杂志》 CAS 北大核心 2000年第5期193-194,共2页
乳酸性酸中毒属于中医“秽浊”、“神昏”、“脱症”等范畴。主要病因病机可概括为脾失健运 ,湿浊中阻 ;心火肝郁 ,痰浊蕴结 ;误治失治 ,阴脱阳亡三端。治疗上中医可分痰浊中阻型、痰浊蒙蔽型和阴脱阳亡型灵活论治 ;宜抓住治疗时机 ,中... 乳酸性酸中毒属于中医“秽浊”、“神昏”、“脱症”等范畴。主要病因病机可概括为脾失健运 ,湿浊中阻 ;心火肝郁 ,痰浊蕴结 ;误治失治 ,阴脱阳亡三端。治疗上中医可分痰浊中阻型、痰浊蒙蔽型和阴脱阳亡型灵活论治 ;宜抓住治疗时机 ,中西医结合以提高疗效 ,降低死亡率。 展开更多
关键词 糖尿病乳酸性酸中毒 中医药疗法 林兰
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Study on the Drug Selection Law for Treatment of Chronic Gastritis with Spleen Deficiency and Stomach Dryness by Complex System Entropy Cluster 被引量:2
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作者 史成和 王秀娟 +3 位作者 陈建新 刘仁权 赵宇昊 杨洪军 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 2010年第4期294-298,共5页
Objective:To study on Prof. GAO Zhong-ying’s drug selection law for treatment of chronic gastritis with data mining technique. Methods: The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying wer... Objective:To study on Prof. GAO Zhong-ying’s drug selection law for treatment of chronic gastritis with data mining technique. Methods: The 407 medical records of chronic gastritis treated by Prof. GAO Zhong-ying were collected and the study on these drugs in the recipes was carried out with data mining method. Among them, the recipe composed of one drug was studied with frequency statistical method, correlativity between drug pairs with improved mutual information, correlativity among multi-drugs with complex system entropy cluster technique. Results: In treatment of chronic gastritis by Prof. GAO Zhong-ying there were 30 drugs with a higher use frequency of over 38 times, 94 commonly-used drug pairs with correlation coefficient of over 0.05, 11 commonly-used drug core combinations. Conclusion: The results attained with data mining technique for studying experience of famous and old TCM physicians conform to the clinical practice and the method is of an important significance for summarization of famous and old TCM physicians’ experiences. 展开更多
关键词 complex system entropy cluster famous and old tcm physicians' experiences chronic gastritis (spleen deficiency and stomach dryness) drug selection law
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