Data mining analysis of Professor Liu Shangyi＇s prescription characteristics in clinical medicine for the treatment of cancer patients with stomachache

目的：分析国医大师刘尚义教授治疗肿瘤患者胃痛的临床用药特点.方法：收集2014年1月到2016年7月就诊于刘尚义教授国医堂门诊癌症见胃痛的患者资料,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肿瘤患者胃痛的临床用药特点.结果：对筛选出的120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4个核心组合和2个新方.治疗后的胃痛症状分级明显低于治疗前,差异具有统计学意义（P〈0.001）.结论：刘教授治疗肿瘤患者胃痛以活血散结、祛湿止痛为主.

Objective： To analyze National Chinese Medicine Master Liu Shangyi’s prescription characteristics of clinical medicinefor the treatment of cancer patients with stomachache. Methods： Data on prescriptions for cancer patients withstomachache between January 2014 and July 2016 were collected. The composing principles were analyzed byunsupervised data mining methods including Apriori algorithm in association rules and complex system entropy cluster.Results： Based on the analysis of 120 prescriptions, the frequency of each herb and association rules among the herbswere computed. Four core combinations and two new prescriptions were mined from the database. Compared to thebefore treatment, the clinical symptomatic grading of stomachache after treatment was lower （P 〈 0.001）. Conclusion：Professor Liu has been successful in the treatment of cancer patients with stomachache by prescribing medication thataids in activating blood circulation, removing dampness, and alleviating pain.