Objective： To extract the syndrome elements of CHD angina pectoris with entropy-based complex system partition method and to analyze the distribution of the syndrome elements, in an effort to study the pathogenetic characteristics of CHD angina pectoris. Methods： The clinical data of 403 patients with CHD angina pectoris were collected by clinical epidemiological survey. Entropy-based Complex System Partition was used to extract the syndrome elements, contribution degree of symptoms to syndrome and diagnostic threshold. The combination rule of the syndrome elements was also analyzed. Results： CHD angina pectoris had the following basic syndromes： Qi Deficiency syndrome, Qi Stagnation syndrome, Blood Stasis syndrome, Phlegm Turbid syndrome, Phlegm-fire syndrome, Stagnation-fire syndrome, Yin Deficiency syndrome and Yang Deficiency syndrome. With the increase of syndrome elements, the frequencies of Qi Deficiency syndrome, Yin Deficiency syndrome, Qi Stagnation syndrome, Blood Stasis syndrome, and Phlegm turbid syndrome also increased. Qi Deficiency syndrome and Blood Stasis syndrome were the two syndrome elements seen most frequently. Conclusion： The syndrome elements extracted by entropy-based complex system partition method and their distribution rule can reflect the pathogenic characteristics of angina pectoris, which lays a base of quantify the diagnostic criteria of the angina pectoris syndrome.[著者文摘]