黄旦　刘健　忻凌　万磊　宋倩　郭锦晨　周巧

【摘 要】目的：應用数据挖掘技术和关联规则分析刘健教授治疗强直性脊柱炎中药配伍及组方规律。方法：基于数据挖掘技术，对2016年3月至2017年3月刘健教授治疗强直性脊柱炎门诊患者病例进行回顾性研究，采用SPSS 22.0与SPSS Modeler 14.2进行药物及其性味归经频数分析、聚类分析及关联规则。结果：①药物性味归经前三位：寒性、温性和平性，甘味、苦味和辛味以及归肝、脾、胃经药物使用最频繁。②刘健教授常用药物一般分为4类：健脾祛湿药、清热药、活血化瘀药、祛风湿药，多数药物使用在50%以上。③关联规则分析提取出健脾化湿药茯苓及活血化瘀药红花与清热药、活血化瘀药、祛风湿药、补益药是相互关联的。④聚类分析得出桃仁、红花、鸡血藤、路路通、威灵仙，黄芩、白花蛇舌草、蒲公英、杜仲、丹参、厚朴、豨莶草，姜半夏、山药，炒谷芽、炒麦芽、陈皮，黄芪、当归、茯苓，薏苡仁等6组。结论：刘健教授治疗强直性脊柱炎以从脾论治为主，配伍清热解毒、祛风除湿、活血化瘀中药，寒温并用，甘苦同施，肝脾肾同调，祛邪不忘扶正，标本兼治。

【关键词】 脊柱炎，强直性；数据挖掘；关联规则；聚类分析

Study on Professor LIU Jians Medication Rules for Ankylosing Spondylitis Based on Data Mining

HUANG Dan，LIU Jian，XIN Ling，WAN Lei，SONG Qian，GUO Jin-chen，ZHOU Qiao

【ABSTRACT】Objective：To analyze the compatibility and prescription rules of Professor Liu Jian in the treatment of ankylosing spondylitis based on Data Mining and Association Rule.Methods：Based on Data Mining，a retrospective study was made for patients with ankylosing spondylitis treated by Professor LIU Jian from March 2016 to March 2017，using SPSS 22.0 and SPSS Modeler 14.2 to analyze the channel entry frequency of medicinals and their natures and flavors，to make a cluster analysis and to analyze the association rules.Results：①According to the channel entry frequency，the top three natures are cold，warm and neutral.Sweet，bitter and pungent medicinals acting on the liver，spleen and stomach channels are most frequently used.②The medicinals commonly used by Professor LIU Jian were generally divided into four categories：spleen-invigorating and dampness-removing medicinals，heat-clearing medicinals，blood-activating and stasis-resolving medicinals，and wind-damp-dispelling medicinals，most of which were used more than 50%.③According to the analysis of association rules，fú líng（a spleen-invigorating and dampness-removing medicinal） and hóng huā（a blood-activating and stasis-resolving medicinal）were interrelated with heat-clearing medicinals，blood-activating and stasis-resolving medicinals，wind-damp-dispelling medicinals and tonifying medicinals.④By cluster analysis，there were six groups of medicinals：táo rén，hóng huā，jī xuè téng，lù lù tōng and wēi líng xiān；huáng qín，bái huā shé shé c?o，pú gōng yīng，dù zhòng，dān shēn，hòu pò and xī xiān c?o；jiāng bàn xià and shān yào；fried g? yá and chén pí；huáng qí，dāng guī and fú líng；yì y? rén.Conclusion：For ankylosing spondylitis，Professor LIU Jian diagnoses and treats it from spleen，using heat-clearing and toxin-resolving medicinals，wind-damp-dispelling medicinals and blood-activating and stasis-resolving medicinals，which are both cold and warm，sweet and bitter，regulating the liver and the spleen，dispelling pathogen and reinforcing healthy qi，and treating the root and branch simultaneously.

【Keywords】 spondylitis，ankylosing；Data Mining；association rule；cluster analysis

强直性脊柱炎（ankylosing spondylitis，AS）特征性病理变化为肌腱、韧带附着点炎，是主要累及骶髂、脊柱和四肢关节的慢性、进展性风湿性疾病，可引起纤维变性和骨性强直，甚至多系统损害，其病因尚未明确[1-2]。AS发病隐匿、病情常迁延不愈、反复发作、致残率高。西医治疗主要应用非甾体抗炎药、改善病情抗风湿药及生物制剂等，其中非甾体抗炎药及改善病情抗风湿药胃肠道反应大，不良反应多，生物制剂虽能有效控制病情，但价格昂贵。……