基于关联规则的新安“王氏内科”代表医家论治咳嗽的药-症规律
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摘要
目的:利用关联规则Apriori算法探讨新安"王氏内科"代表医家治疗咳嗽的药-症规律。方法:收集新安"王氏内科"代表医家治疗咳嗽效验医案共234案,利用Excel 2016建立药物、症状数据库,进行频数与关联规则分析。结果:药物频数分析得出治疗咳嗽前四位药物分别是苦杏仁、款冬花、紫菀、茯苓,重在化痰止咳,健脾利水;根据四诊信息频数统计结果可归纳为痰相关、热相关、风相关、郁相关;药物关联规则提取出"王氏内科"医家治疗咳嗽常用药对为苦杏仁→射干、款冬花→百部等;药物与四诊关联规则结果显示脉濡弦与五味子、葶苈子、佛耳草→紫菀等关联度较高;咳声重浊与鹅管石、远志→鹅管石、半夏→化橘红关联度较高;痰鸣与佛耳草、葶苈子、干姜→佛耳草等关联度较高;咳声重浊与舌白苔腻与半夏→化橘红关联度较高。药物与四诊关联规则结果显示脉濡弦与五味子、葶苈子、佛耳草+紫菀三者关联度较高;咳声重浊与鹅管石、远志+鹅管石、半夏+化橘红三者关联度较高;痰鸣与佛耳草、葶苈子、干姜+佛耳草三者关联度较高;咳声重浊与舌白苔腻与半夏+化橘红二者关联度较高。结论:"王氏内科"代表医家临证治疗咳嗽特点鲜明,将辨证与辨症相结合,以化痰为要,重视肺气的宣降,重视培护脾胃,培土生金。
This paper was aimed to explore the rules of medicine for the cough medicine by using the Apriori algorithm of association rules. A total of 234 cases treated by represents of Wang's geriatrics doctors in the treatment of coughwere collected, and the drug and symptom database was established in Excel 2016. A total of 229 drugs and 174 symptoms were collected, and the frequency statistics and association rules were used for analysis. According to the analysis of drug frequency, the first four drugs of "Wang's Geriatrics" were Semen Armeniacae Amarum, Flos Farfarae, Radix Asteris and Poria, which were concentrated in phlegm and cough and invigorating spleen and water. According to the statistical results of four diagnostic information, the results can be summarized as phlegm-related, heat-related, wind-related, and depressive correlation. The drug association rule extracts "Wang's internal medicine" medical treatment of cough medicine to Semen Armeniacae Amarum-Rhizoma Belamcandae, Flos Farfarae, etc. The results of drug and four diagnostic association rules showed that the association degree was higher with Fructus Schisandrae Chinensis, Semen Descurainiae, Gnaphalium affine D. Don and Radix Asteris. The correlation degree between cough and Balanophyllia sp,Radix Polygalae and Balanophyllia sp with Rhizoma Pinelliae and Exocarpium Citri Grandis was higher. Phlegm is associated with Gnaphalium affine D. Don, Semen Descurainiae, Rhizoma Zingiberis with Gnaphalium affine D. Don, etc.There is a high degree of correlation between cough and white moss and Rhizoma Pinelliae and Exocarpium Citri Grandis.The results of drug and four diagnostic association rules showed that the association degree was higher than that of Fructus Schisandrae Chinensis, Semen Descurainiae, Gnaphalium affine D. Don +Radix Asteris. The correlation degree of cough was higher than that of Balanophyllia sp, Radix Polygalae+Balanophyllia sp, Rhizoma Pinelliae+Exocarpium Citri Grandis. Phlegm is associated with Gnaphalium affine D. Don, Semen Descurainiae, Rhizoma Zingiberis+Gnaphalium affine D. Don, etc. There is a high correlation between cough and white moss and Rhizoma Pinelliae+Exocarpium Citri Grandis. Conclusion: The character of Wang's medical doctor treating cough combined with syndrome differentiation is attaching great importance to dissipate phlegm and ventilate lung qi, nourish spleen and stomach.
This paper was aimed to explore the rules of medicine for the cough medicine by using the Apriori algorithm of association rules. A total of 234 cases treated by represents of Wang's geriatrics doctors in the treatment of coughwere collected, and the drug and symptom database was established in Excel 2016. A total of 229 drugs and 174 symptoms were collected, and the frequency statistics and association rules were used for analysis. According to the analysis of drug frequency, the first four drugs of "Wang's Geriatrics" were Semen Armeniacae Amarum, Flos Farfarae, Radix Asteris and Poria, which were concentrated in phlegm and cough and invigorating spleen and water. According to the statistical results of four diagnostic information, the results can be summarized as phlegm-related, heat-related, wind-related, and depressive correlation. The drug association rule extracts "Wang's internal medicine" medical treatment of cough medicine to Semen Armeniacae Amarum-Rhizoma Belamcandae, Flos Farfarae, etc. The results of drug and four diagnostic association rules showed that the association degree was higher with Fructus Schisandrae Chinensis, Semen Descurainiae, Gnaphalium affine D. Don and Radix Asteris. The correlation degree between cough and Balanophyllia sp,Radix Polygalae and Balanophyllia sp with Rhizoma Pinelliae and Exocarpium Citri Grandis was higher. Phlegm is associated with Gnaphalium affine D. Don, Semen Descurainiae, Rhizoma Zingiberis with Gnaphalium affine D. Don, etc.There is a high degree of correlation between cough and white moss and Rhizoma Pinelliae and Exocarpium Citri Grandis.The results of drug and four diagnostic association rules showed that the association degree was higher than that of Fructus Schisandrae Chinensis, Semen Descurainiae, Gnaphalium affine D. Don +Radix Asteris. The correlation degree of cough was higher than that of Balanophyllia sp, Radix Polygalae+Balanophyllia sp, Rhizoma Pinelliae+Exocarpium Citri Grandis. Phlegm is associated with Gnaphalium affine D. Don, Semen Descurainiae, Rhizoma Zingiberis+Gnaphalium affine D. Don, etc. There is a high correlation between cough and white moss and Rhizoma Pinelliae+Exocarpium Citri Grandis. Conclusion: The character of Wang's medical doctor treating cough combined with syndrome differentiation is attaching great importance to dissipate phlegm and ventilate lung qi, nourish spleen and stomach.
引文
1谭辉,尹婷婷,王键.新安王氏内科论治便秘特色及验案举隅.中华中医药杂志,2016,31(11):4590-4593.
2国家中医药管理局.中医病证诊断疗效标准.南京:南京大学出版社,2004:6.
3南京中医药大学.中药大辞典.上海:上海科学技术出版社,2006.
4高学敏.中药学.北京:人民卫生出版社,2014:1-450.
5薛博瑜,吴伟.中医内科学.北京:人民卫生出版社,2016:1-392.
6李灿东.中医诊断学.北京:中国中医药出版社,2016:1-213.
7中华中医药学会内科分会肺系病专业委员会.咳嗽中医诊疗专家共识意见(2011版).中医杂志,2011,52(10):896-899.
8薛博瑜,吴伟.中医内科学.北京:人民卫生出版社,2016:37-43.
9郜峦,王键,李锋刚,等.基于关联规则的肺系疾病症药关系研究.中医杂志,2013,54(8):697-700.
10姚慧,董昌武,郭锦晨.《冯塘医案》辨治肺系疾病方药特色及聚类分析.锦州医科大学学报,2017,38(6):90-93.
11李艳,赵进东,忻凌,等.基于数据挖掘分析徐经世教授诊治肝郁脾虚型胃脘痛用药规律.中医杂志,2017,58(15):1288-1292.
12聂多锐,刘兰林,郭锦晨,等.201例新安王氏内科脾胃病医案组方用药规律及数据挖掘研究.西南医科大学学报,2017,40(5):484-487.
13呼敏,马珊珊,王荣.杏仁药对配伍规律及临床应用研究.辽宁中医药大学学报,2016,18(2):116-118.
14聂多锐,刘兰林,郭锦晨,等.201例新安王氏内科脾胃病医案组方用药规律及数据挖掘研究.西南医科大学学报,2017,40(5):484-487.
15何玲,叶铭钢,王键.新安王氏内科辨治哮喘病的特色与思路.中华中医药杂志,2016,31(5):1543-1546.
16吴元胜,张冰,袁娟娜,等.基于关联规则的当代银屑病医案药-症数据挖掘分析.时珍国医国药,2012,23(11):2890-2892.
2国家中医药管理局.中医病证诊断疗效标准.南京:南京大学出版社,2004:6.
3南京中医药大学.中药大辞典.上海:上海科学技术出版社,2006.
4高学敏.中药学.北京:人民卫生出版社,2014:1-450.
5薛博瑜,吴伟.中医内科学.北京:人民卫生出版社,2016:1-392.
6李灿东.中医诊断学.北京:中国中医药出版社,2016:1-213.
7中华中医药学会内科分会肺系病专业委员会.咳嗽中医诊疗专家共识意见(2011版).中医杂志,2011,52(10):896-899.
8薛博瑜,吴伟.中医内科学.北京:人民卫生出版社,2016:37-43.
9郜峦,王键,李锋刚,等.基于关联规则的肺系疾病症药关系研究.中医杂志,2013,54(8):697-700.
10姚慧,董昌武,郭锦晨.《冯塘医案》辨治肺系疾病方药特色及聚类分析.锦州医科大学学报,2017,38(6):90-93.
11李艳,赵进东,忻凌,等.基于数据挖掘分析徐经世教授诊治肝郁脾虚型胃脘痛用药规律.中医杂志,2017,58(15):1288-1292.
12聂多锐,刘兰林,郭锦晨,等.201例新安王氏内科脾胃病医案组方用药规律及数据挖掘研究.西南医科大学学报,2017,40(5):484-487.
13呼敏,马珊珊,王荣.杏仁药对配伍规律及临床应用研究.辽宁中医药大学学报,2016,18(2):116-118.
14聂多锐,刘兰林,郭锦晨,等.201例新安王氏内科脾胃病医案组方用药规律及数据挖掘研究.西南医科大学学报,2017,40(5):484-487.
15何玲,叶铭钢,王键.新安王氏内科辨治哮喘病的特色与思路.中华中医药杂志,2016,31(5):1543-1546.
16吴元胜,张冰,袁娟娜,等.基于关联规则的当代银屑病医案药-症数据挖掘分析.时珍国医国药,2012,23(11):2890-2892.