基于数据挖掘分析刘尚义教授治疗肺癌的临床用药特点
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摘要
目的基于中医传承辅助平台,分析"国医大师"刘尚义教授治疗肺癌的临床用药特点。方法将2014年1月-2015年7月就诊于刘尚义教授国医堂门诊肺癌患者信息输入系统中,采用关联规则阿Apriori算法、复杂系统熵聚类等无监督数据挖掘方法,探讨刘尚义教授治疗肺癌的临床用药特点。结果对筛选出的160例处方进行分析,确定处方中药物使用频次,药物之间的关联规则,挖掘出14个核心组合和7个新方。结论刘教授治疗肺癌多用解毒散结之品。运用中医传承辅助平台从中探索刘尚义教授治疗肺癌的临床用药特点,为总结名老中医经验开辟新的方法。
Objective To analyze the characteristics of clinical medicine of medical masters professor LIU Shangyi for lung cancer by traditional Chinese medicine(TCM) inheritance support system. Methods Input outpatient information into system from patients with lung cancer visited professor LIU Shangyi in Chinese medicine hall from January 2014 to July 2015, use A Apriori algorithm based on association rules, entropy clustering and other unsupervised data mining methods for complex systems and explore the characteristics of clinical medicine of professor LIU Shangyi in the treatment of lung cancer. Results Based on the analysis of 160 prescriptions, the frequency of each herb and association rules among the herbs were computed, 14 core combinations and 7 new prescriptions were mined from the database. Conclusion Professor LIU is good at detoxification and removing stasis to treat lung cancer. To explore the characteristics of clinical medicine of professor LIU in the treatment of lung cancer by traditional Chinese medicine(TCM) inheritance support system, which opens a new way to sum up the experience of the famous old Chinese medicine doctors.
Objective To analyze the characteristics of clinical medicine of medical masters professor LIU Shangyi for lung cancer by traditional Chinese medicine(TCM) inheritance support system. Methods Input outpatient information into system from patients with lung cancer visited professor LIU Shangyi in Chinese medicine hall from January 2014 to July 2015, use A Apriori algorithm based on association rules, entropy clustering and other unsupervised data mining methods for complex systems and explore the characteristics of clinical medicine of professor LIU Shangyi in the treatment of lung cancer. Results Based on the analysis of 160 prescriptions, the frequency of each herb and association rules among the herbs were computed, 14 core combinations and 7 new prescriptions were mined from the database. Conclusion Professor LIU is good at detoxification and removing stasis to treat lung cancer. To explore the characteristics of clinical medicine of professor LIU in the treatment of lung cancer by traditional Chinese medicine(TCM) inheritance support system, which opens a new way to sum up the experience of the famous old Chinese medicine doctors.
引文
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[15]王丹凤,刘玉强,才谦.苍术麸炒前后健脾作用研究[J].时珍国医国药,2013,24(1):155-156.
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[17]吴嘉瑞,唐仕欢,郭位先,等.基于数据挖掘的名老中医经验传承研究述评[J].中国中药杂志,2014,39(4):614-617.
[18]张睿,王觅也,李楠,等.数据挖掘技术及其在临床恶性肿瘤诊疗中的应用[J].医学信息学杂志,2015,36(10):50-54.
[2]关念波,刘浩.肺癌中医药治疗的研究进展及展望[J].临床肿瘤学杂志,2013,18(3):264-267.
[3]桂海涛,黄智芬.肺癌的中医研究进展[J].河南中医,2014,34(1):166-169.
[4]吴嘉瑞,张冰,杨冰,等.基于关联规则和熵聚类算法的颜正华治疗胸痹用药规律研究[J].中国实验方剂学杂志,2013,19(2):348-351.
[5]刘凯,王艳国.中医传承辅助平台在中医药研究中应用现状[J].山东中医杂志,2015,34(5):392-394.
[6]凌颖茹,赵龙,白莉,等.基于数据挖掘方法分析黄春林教授治疗肾病综合征用药经验[J].世界科学技术-中医药现代化,2013,15(5):958-964.
[7]范春雷,李泽庚,童佳兵.肺癌中医证型与现代医学分期关系研究进展[J].中国中医药信息杂志,2016,23(5):134-136.
[8]王海瑞,季旭明,宋立家.基于中医传承辅助平台治疗中晚期肺癌方剂组方规律[J].中国老年学杂志,2015,35(13):3614.
[9]杨柱,唐东昕,郭斌,等.通过数据挖掘临床用药规律总结国医大师刘尚义教授肿瘤诊治的学术经验[J].中医杂志,2016,58(8):56.
[10]韩睿.浅析刘尚义教授肿瘤治法之“阴阳双消、滋阴起亟”[J].中医药信息,2013,30(4):75-78.
[11]李彬,郭力城.鳖甲的化学成分和药理作用研究概况[J].中医药信息,2009,26(1):25-27.
[12]王德立.中药莪术研究进展[J].安徽农业科学,2014,42(11):3240-3242,3258.
[13]卫蓉,刘尚义.刘尚义教授巧用对药抗肿瘤的体会[J].贵阳中医学院学报,2011,33(4):2-4.
[14]高世勇,王珑.冬凌草的化学和药理作用研究[J].哈尔滨商业大学学报(自然科学版)2014,30(1):1-6.
[15]王丹凤,刘玉强,才谦.苍术麸炒前后健脾作用研究[J].时珍国医国药,2013,24(1):155-156.
[16]张淑洁,钟凌云.厚朴化学成分及其现代药理研究进展[J].中药材,2013,36(5):838-843.
[17]吴嘉瑞,唐仕欢,郭位先,等.基于数据挖掘的名老中医经验传承研究述评[J].中国中药杂志,2014,39(4):614-617.
[18]张睿,王觅也,李楠,等.数据挖掘技术及其在临床恶性肿瘤诊疗中的应用[J].医学信息学杂志,2015,36(10):50-54.