基于数据挖掘的非酒精性脂肪肝中医临床用药规律研究

摘要

Objective To explore the regularities and rules of compound herbal formulae for nonalcoholic fatty liver disease (NAFLD).Methods Compound herbal formulae on NAFLD published in journals of CNKI (1979.1-2014.1), VIP (1989.1-2014.1) and CBMdisc (1979.1-2014.1) were analyzed with association rule, frequency analysis and cluster analysis.Results In 107 prescriptions, 179 herbs were involved, and frequency of usage of those herbs was 1499. A cluster analysis was used to analyze 37 herbs with high frequency (≥10) of usage, which were classified into 9 clusters including promoting circulation, clearing heat herb, diuretic herb, food stagnation herb, regulating qi herb, phlegm-resolving herb, qi tonics herb, yin-nourishing herb, qi-activating herb and purgating herb. 30 pairs of herbs and 33 rules for NAFLD were obtained by association rule analysis.Conclusion It was a point of view to understand the regularities and rules of Chinese herb prescription on NAFLD by data mining.%目的：探讨中药复方治疗非酒精性脂肪肝的用药规律。方法检索中国期刊全文数据库(1979年1月-2014年1月)、中文科技期刊数据库(1989年1月-2014年1月)和中国生物医学文献数据库(1979年1月-2014年1月)公开发表文献中治疗非酒精性脂肪肝的中药复方，建立相应数据库，采用频次分析、聚类分析和关联规则分析方法对中药复方进行数据挖掘。结果共获得治疗非酒精性脂肪肝的中药复方107个，涉及药物179种、频次1499次；以使用频次≥10次的37种作为主要药物进行聚类分析，归为活血药、清热药、利湿药、补气药、消积药、化痰药、补阴药、行气药和泻下9大类；经关联规则分析，共得有趣关联规则33条，药对30对。结论数据挖掘有助于解读中药复方治疗非酒精性脂肪肝的用药规律。