Objective:To study on relationship between of BCR/ABL fusion gene expression and TCM syndrome classification in the patient of chronic myelogenous leukemia(CML).
目的：探讨慢性粒细胞白血病（CML）患者BCR/ABL融合基因表达与中医辨证分型的关系。
The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.
目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。
The result indicated that the analysis methods of variable models were suitable for the research on disease classification according to TCM syndromes and syndrome elements extraction.
研究结果认为疾病的中医证候分类和证候要素的提取研究采取潜在变量模型等系列分析方法是适宜的。
应用推荐