基于数据挖掘的针灸治疗糖尿病周围神经病变选穴规律分析
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摘要
目的:采用统计学和数据挖掘技术,研究分析针灸治疗糖尿病周围神经病变的选穴规律。方法:收集CNKI建库以来针灸治疗糖尿病周围神经病变的临床文献,建立数据库并进行数据挖掘关联规则和聚类分析。结果:针灸治疗糖尿病周围神经病变使用频次最高的穴位是三阴交,选用穴位最多的经脉是足太阳膀胱经;关联规则分析显示,穴位间支持度最高的是足三里-三阴交;通过聚类分析得出6个有效聚类群:曲池-合谷、气海-关元、脾俞-肾俞、太冲-太溪、肝俞-胰俞-肺俞、悬钟-昆仑-涌泉-后溪;核心穴位对有:气海-关元、环跳-飞扬、八风-八邪、委中-承山、昆仑-悬钟、后溪-涌泉、梁丘-伏兔。结论:针灸治疗糖尿病周围神经病变的主穴包括足三里、三阴交、阳陵泉、曲池和合谷,通过数据挖掘技术剖析临床针灸处方选穴规律完全可行,是一种比较可靠的分析方法。
Objective: Statistical and data mining techniques were used to study and analyze the rules of acupoint selection in treating diabetic peripheral neuropathy with acupuncture and moxibustion. Methods: The clinical literatures of acupuncture and moxibustion for diabetic peripheral neuropathy since establishment of CNKI database were collected. The database was established and the association rules of data mining and cluster analysis were carried out. Results: In treating diabetic peripheral neuropathy with acupuncture and moxibustion,Sanyinjiao( SP 6) had the highest frequency of use. Most of the selected points came from the bladder meridian of foot-Taiyang. Association rules analysis showed that the highest degree of support between acupoints was Zusanli( ST 36) and Sanyinjiao( SP 6). Six effective cluster groups were obtained by cluster analysis: Quchi( LI 11-Hegu( LI4),Qihai( RN 6)-Guanyuan( RN 4),Pishu( BL 20)-Shenshu( BL 23),Taichong( LR 3)-Taixi( KI 3),Ganshu( BL 18)-Yishu( Ex-B 3)-Feishu( BL 13),Xuanzhong( GB 39)-Kunlun( BL 60)-Yongquan( KI 1)-Houxi( SI 3). There were 10 pointpairs: Qihai( RN 6)-Guanyuan( RN 4),Huantiao( GB 30)-Feiyang( BL 58),Bafeng( Extra)-Baxie( Extra),Weizhong( BL 40)-Chengshan( BL 57),Kunlun( BL 60)-Xuanzhong( GB 39),Houxi( SI 3)-Yongquan( KI 1),Liangqiu( ST 34)-Futu( ST 32). Conclusion: The main points of acupuncture and moxibustion for diabetic peripheral neuropathy include Zusanli,Sanyinjiao,Yanglingquan,Quchi and Hegu. It is feasible and reliable to analyze the rules of acupoint selection for acupuncture and moxibustion prescription selection through data-mining technology.
Objective: Statistical and data mining techniques were used to study and analyze the rules of acupoint selection in treating diabetic peripheral neuropathy with acupuncture and moxibustion. Methods: The clinical literatures of acupuncture and moxibustion for diabetic peripheral neuropathy since establishment of CNKI database were collected. The database was established and the association rules of data mining and cluster analysis were carried out. Results: In treating diabetic peripheral neuropathy with acupuncture and moxibustion,Sanyinjiao( SP 6) had the highest frequency of use. Most of the selected points came from the bladder meridian of foot-Taiyang. Association rules analysis showed that the highest degree of support between acupoints was Zusanli( ST 36) and Sanyinjiao( SP 6). Six effective cluster groups were obtained by cluster analysis: Quchi( LI 11-Hegu( LI4),Qihai( RN 6)-Guanyuan( RN 4),Pishu( BL 20)-Shenshu( BL 23),Taichong( LR 3)-Taixi( KI 3),Ganshu( BL 18)-Yishu( Ex-B 3)-Feishu( BL 13),Xuanzhong( GB 39)-Kunlun( BL 60)-Yongquan( KI 1)-Houxi( SI 3). There were 10 pointpairs: Qihai( RN 6)-Guanyuan( RN 4),Huantiao( GB 30)-Feiyang( BL 58),Bafeng( Extra)-Baxie( Extra),Weizhong( BL 40)-Chengshan( BL 57),Kunlun( BL 60)-Xuanzhong( GB 39),Houxi( SI 3)-Yongquan( KI 1),Liangqiu( ST 34)-Futu( ST 32). Conclusion: The main points of acupuncture and moxibustion for diabetic peripheral neuropathy include Zusanli,Sanyinjiao,Yanglingquan,Quchi and Hegu. It is feasible and reliable to analyze the rules of acupoint selection for acupuncture and moxibustion prescription selection through data-mining technology.
引文
[1]程瑶,吴东红,刘大娜,等.针灸联合硫辛酸在糖尿病周围神经病变的临床应用[J].黑龙江医学,2016,40(4):314-315.
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[13]黄凯裕,梁爽,许岳亭,等.基于数据挖掘的针灸治疗失眠的选穴规律分析[C].北京:中国针灸学会临床分会,2014:139-143.
[14]秦璐,董珍珍,李丹萍,等.基于数据挖掘的原发性痛经现代针灸临床用穴特点探析[J].上海针灸杂志,2017,36(12):1485-1490.
[15]王菊菊,陈霞,于美玲,等.基于数据挖掘的单纯性肥胖症现代针刺临床用穴规律探析[C].北京:第二十一次全国针灸临床学术研讨会论文集,2014:143-147.
[16]赵凌艳,陈雄,王娜娜,等.电针结合药物治疗2型糖尿病周围神经病变疗效观察[J].上海针灸杂志,2014,33(11):1005-1007.
[17]唐润东,刘悦,纪静芸,等.穴位埋线法治疗糖尿病周围神经病变随机对照研究[J].辽宁中医药大学学报,2017,19(5):172-175.
[18]衣运玲,姜军作.针灸治疗糖尿病周围神经病变的选穴[J].中国临床康复,2006,10(27):146-148.
[2]钟欢,呙安林,汪厚莲,等.从“瘀”论糖尿病周围神经病变的针灸治疗[J].中国针灸,2017,37(2):199-201.
[3]丁平,楼慧勤,朱国平.针药结合治疗2型糖尿病周围神经病变82例[J].上海中医药杂志,2012,46(7):56-57.
[4]路玫,李昆珊,王佳丽.针刺治疗糖尿病患者肢体远端对称性多发性周围神经病变:随机对照研究[J].中国针灸,2016,36(5):481-484.
[5]田德禄.中医内科学[M].北京:人民卫生出版社,2004:373-374.
[6]潘鸿,王洪峰,王宇峰,等.基于数据挖掘技术探究治疗糖尿病周围神经病变的针灸取穴规律[J].中国针灸,2016,36(10):1111-1114.
[7]何乐中.电针配合耳压治疗糖尿病周围神经病变疗效观察[J].上海针灸杂志,2012,28(2):100-101.
[8]任那,刘潇,李崖雪,等.针刺联合木丹颗粒治疗糖尿病周围神经病变的临床观察[J].针灸临床杂志,2016,32(12):15-17.
[9]吴芳华,朱启玉.针药结合治疗糖尿病周围神经病变的临床研究[J].针灸临床杂志,2017,33(1):4-7.
[10]陈妮,沈卫东.针刺对气阴两虚型糖尿病周围神经病变患者的临床观察[J].辽宁中医杂志,2012,39(12):2476-2480.
[11]江勇,徐浣白.针刺干预治疗亚临床型糖尿病周围神经病变疗效观察[J].上海针灸杂志,2013,32(2):99-101.
[12]黄凯裕,梁爽,许岳亭,等.基于数据挖掘的针灸治疗失眠选穴规律分析[J].中国针灸,2015,35(9):960-963.
[13]黄凯裕,梁爽,许岳亭,等.基于数据挖掘的针灸治疗失眠的选穴规律分析[C].北京:中国针灸学会临床分会,2014:139-143.
[14]秦璐,董珍珍,李丹萍,等.基于数据挖掘的原发性痛经现代针灸临床用穴特点探析[J].上海针灸杂志,2017,36(12):1485-1490.
[15]王菊菊,陈霞,于美玲,等.基于数据挖掘的单纯性肥胖症现代针刺临床用穴规律探析[C].北京:第二十一次全国针灸临床学术研讨会论文集,2014:143-147.
[16]赵凌艳,陈雄,王娜娜,等.电针结合药物治疗2型糖尿病周围神经病变疗效观察[J].上海针灸杂志,2014,33(11):1005-1007.
[17]唐润东,刘悦,纪静芸,等.穴位埋线法治疗糖尿病周围神经病变随机对照研究[J].辽宁中医药大学学报,2017,19(5):172-175.
[18]衣运玲,姜军作.针灸治疗糖尿病周围神经病变的选穴[J].中国临床康复,2006,10(27):146-148.