运用数据挖掘技术探讨周仲瑛教授诊疗类风湿性关节炎经验

Experiences of Professor ZHOU Zhong-ying in Diagnosing and Treating Rheumatoid Arthritis by Data Mining

目的对周仲瑛教授诊疗类风湿性关节炎的临证经验及学术思想进行探讨。方法通过收集周仲瑛教授治疗类风湿性关节炎疾病病历153份,运用频数法、因子分析和关联规则等方法挖掘病案中症状、病机、治法、方药之间的规律。结果统计出类风湿性关节炎主要症状14个,临床常用药物76个,药物核心方组合8个及主要病机与相关药物之间的联系。结论结合周仲瑛教授的临证经验对挖掘结果进行分析、归纳、总结,得出结果与临床实际相符。

Objective To summarize Professor ZHOU Zhong-ying＇s academic ideas and clinical ex- periences in diagnosing and treating rheumatoid arthritis （RA）. Methods Totally 153 clinical case reports were recruited. Data mining techniques like frequencies, factor analysis, and association analysis were used in order to find out laws of syndrome, pathogenesis, treatment methods, formulae and medication. Results By statistical analyses, we found 14 main symptoms, 76 commonly used clinical drugs, 8 core prescriptions for RA, and the correlation between main pathogeneses and related drugs. Conclusion Results analyzed and summarized from mining his experiences in RA treatment were in line with clinical practice.