目的 探索治疗肺纤维化中药复方的用药规律.方法 利用中国生物医学文献数据库检索到公开发表的文献中治疗肺纤维化的中药复方,建立相应数据库,采用频数分析、聚类分析、关联规则等方法对复方进行数据挖掘,对主要药物、药对(组)规律进行探讨.结果 在治疗肺纤维化的64首中药复方中,涉及114种药物,使用频次为584次;其中使用频次在5次以上的共36种、431频次;作为主要药物进行聚类分析,共分为补益药、活血药、化痰药、宣肃肺气药、清热药.平喘药6类;经关联规则分析,共得药对规则19条,药组规则25条,主要为益气药与活血药的配伍组合.结论 应用数据挖掘方法探索治疗肺纤维化中药复方用药规律是可行的.%Objective To study the regularity of compound herbal formulae for pulmonary fibrosis. Methods Compound herbal formulae published on journals for the treatment of pulmonary fibrosis were searched and collected. A database was established for data mining using frequency count, cluster analysis and association rule analysis. Regularity of key herbs and a pair (group) of herbs was summarized. Results There were 64 prescriptions (totaling 114 herbs and 584 counts of frequency) in the compound herbal formulae for pulmonary fibrosis. The herbs which were used for more than 5 times included 36 herbs (totaling 431 counts of frequency). They were cluster analyzed and classified into 6 clusters including tonic, hemorheologic agent, apophlegmatisant, drugs used to disperse and lower the qi of the lung, heat-clearing drugs and antiasthmatic. The rules in pair of herbs were 19, and rules in group of herbs were 25 by association analysis. The rules consisted mostly of compatibility of qi-reinforcing drugs and hemorheologic agent. Conclusions It was feasible that study the regularity of Chinese compound prescription for the treatment of pulmonary fibrosis by data mining.
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