| 摘要: |
| 目的：以基于熵的复杂系统分划方法提取冠心病心绞痛患者证候要素,并分析其分布规律,探讨冠心病心绞痛病机特点.方法：以临床流行病学调查获得403例冠心病心绞痛四诊资料,以基于熵的复杂系统分划方法提取其证候要素,确立症状贡献度,建立诊断阈值,分析其组合规律.结果：冠心病心绞痛存在气滞、气虚、痰湿、血瘀、痰热、郁热、阴虚、阳虚等证候要素,随着证候要素组合增多,气虚、阴虚、血瘀、痰浊、气滞是冠心病心绞痛标虚标实证候特点的主要体现,其中以气虚和血瘀最多见.结论：以基于熵的复杂系统分划方法提取的冠心病心绞痛证候要素及其分布规律研究反映了冠心病心绞痛本虚标实的病机特点,为量化证候诊断标准的制定奠定了基础.[著者文摘] |
| 关键词: 心绞痛 熵 证候 中医病机 |
| DOI：10.3724/SP.J.1008.2007.00775 |
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| 基金项目:国家重点基础研究发展计划（973计划）（2005CB523301）. |
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| Entropy-based complex system partition method in extracting CHD angina pectoris syndrome elements and their distribution |
| JIA Zhen-hua , WANG Yong-jun , WU Yi-ling , LI Ye-shuang , GAO Huai-lin , XI Guang-cheng , CHEN Jing , GU Chun-hua, YUAN Guo-qiang , WU Xiang-chun, WEI Cong |
| (1. Yiling Hospital, Hebei Medical University, Shijiazhuang 050091, China; 2. Institute of Automation, Chinese Academy of Science, Beijing 100080) |
| Abstract: |
| 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] |
| Key words: angina pectoris entropy symtom complex pathogenests |
