关键词: 中医证候, 变量聚类, 样本数据聚类, 假设检验, 判决方法

Abstract: Based on the data from the project “Study on the Proteomics about Phlegm and Blood Stasis Symptom in Hyperlipidemia and Atherosclerosis”, multivariate analysis are used to help find the most powerful protein groups for TCM symptom diagnosis Clustering methods on both variables and samples are used to analyze the 11 proteins, and two possibilities for the variable clustering results are given from the TCM perspective to supervise the sample clustering in different ways Moreover, hypothesis tests are introduced to support the classification independently Either the protein group {Haptoglobin (Precursor),α-trypsin inhibitor light chain, ALB protein3, Complement component C4} or the protein group {Fibrinogen gamma chain, α-trypsin inhibitor light chain, undetermined protein (ID1485)} is found to excellently separate not only the symptoms and the control group, but also the phlegm and the blood stasis symptoms Therefore, suggestions for better TCM symptom diagnosis are given out

Key words: symptoms in Traditional Chinese Medicine, variable clustering, sample clustering, hypothesis test, symptom diagnosis