周己扬王 嫱刘 欣张会永刘宝文(辽宁中医药大学，沈阳，00；沈阳国际旅行卫生保健中心，沈阳，006；辽宁中医药大学附属医院血液科，沈阳，00)

    基于数据挖掘的刘宝文教授治疗骨髓增殖性疾病用药特色分析

    周己扬1王 嫱2刘 欣3张会永3刘宝文3

    (1辽宁中医药大学，沈阳，110032；2沈阳国际旅行卫生保健中心，沈阳，110016；3辽宁中医药大学附属医院血液科，沈阳，110032)

    摘要目的：采用数据挖掘技术分析刘宝文教授中医药治疗骨髓增殖性疾病用药特色。方法：对刘宝文教授治疗骨髓增殖性疾病的28例(149诊次)患者病案建立信息数据库。采用SPSS Modeler作为数据挖掘平台，分析用药频次，对药物进行关联分析，绘制关联规则网状图。结果：刘宝文教授中医药治疗骨髓增殖性疾病常用药物22味，核心用药8味，分别为陈皮、甘草、丹参、当归、牛膝、熟地黄、山药、红花。关联分析发现43组药对，其中11组药对与刘宝文教授经验相符合，数据挖掘发现5组新药对，分别为丹参与柴胡、柴胡与牛膝、蒲黄与丹参、牛膝与丹参、当归与青黛。结论：刘宝文教授治疗骨髓增殖性疾病以活血化瘀药物为主，配合补气、补血、滋阴等药物。数据挖掘的结果基本体现了刘宝文教授治疗骨髓增殖性疾病的学术思想与用药特色。

    关键词数据挖掘；名老中医经验；骨髓增殖性疾病；关联规则

    Analysis of Professor Liu Baowen's Administration Features in the Treatment of Myeloproliferative Disease Based on Data Mining

    Zhou Jiyang1，Wang Qiang2，Liu Xin3，Zhang Huiyong3，Liu Baowen3

    (1 Liaoning University of Traditional Chinese Medicine，Shenyang 110032，China；2 Shenyang International Travel Health Care Center，Shenyang 110016，China；3 The Affiliated Hospital of Liaoning University of Traditional Chinese Medicine，Shenyang 110032，China)

    Abstract Objective：To analyze professor Liu Baowen's administration features on treating myeloproliferative applying data mining technology. Methods：A database was set up including 28 myeloproliferative cases(149 clinic consultations)treated by Prof. Liu. Frequency of administration and correlation of herbs was tested. Analysis was performed by SPSS Modeler. Results：The herbs that were most frequently used by Prof. Liu on treating MPD were Chenpi ......