关键词: 原发性血小板增多症, 关联规则, 聚类算法, 中医辨证用药规律

Abstract: Objective To explore the traditional Chinese medicine for primary thrombocytosis evidence. Methods Collect the medical record of TCM treatment of primary thrombocytosis, based on the data mining software , such as frequency analysis,the rules of using the software integration analysis, improved mutual information method, the complex system entropy and entropy of unsupervised clustering hierarchy clustering data mining methods were used to analyze TCM syndromes and herbs for the treatment of primary thrombocytosis. Results Based on the 57 selected medical records, the appearance frequency of symptoms, treatment and the frequency of each herb and association rules among the herbs were computed, 35 core combinations and 6 new prescriptions were also mined from the database. Conclusion Chinese medicine has been accumulated experiences in the treatment of primary thrombocytosis and has rules to follow, mainly for the blood stasis syndrome differentiation of syndrome, blood heat, something the effect such as clear heat, cooling blood, invigorating the circulation,which has strong regularity.

Key words: primary thrombocytosis disease, apriori, clustering algorithm, traditional Chinese medicine’s medication rule