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| 基于熵的复杂系统分划方法在中医证候诊断标准研究中的应用 | |
| 引用本文： | 高怀林,吴以岭,陈静,西广成,贾振华,谷春华,陈建新,袁国强,吴相春,魏聪.基于熵的复杂系统分划方法在中医证候诊断标准研究中的应用[J].中华中医药杂志,2008,23(4):307-309. |
| 作者姓名： | 高怀林 吴以岭 陈静 西广成 贾振华 谷春华 陈建新 袁国强 吴相春 魏聪 |
| 作者单位： | 1. 河北医科大学,石家庄,050017 2. 河北以岭医药研究院,石家庄,050035 3. 中国科学院自动化研究所,北京,100080 |
| 基金项目： | 国家重点基础研究发展计划(国家973计划)项目(No.2005CB523301) |
| 摘 要： | 目的:探索基于熵的复杂系统分划方法在中医证候诊断标准研究中的应用。方法:根据临床流行病学调查获得血管内皮功能障碍四诊资料,以基于熵的复杂系统分划方法对血管内皮功能障碍阴虚证诊断标准进行研究。结果:建立的血管内皮功能障碍阴虚证的诊断标准有较好的诊断效能。结论:基于熵的复杂系统分划方法适用于中医证候诊断标准的研究,方法科学严谨,有临床实用价值。 |
| 关 键 词： | 基于熵的复杂系统分划方法 中医证候 诊断标准 |
| 收稿时间： | 2007-04-13 |
| 修稿时间： | 2007年4月13日 |
Application of entropy partition method for complex system in study of TCM syndrome diagnostic criteria |
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| GAO Huai-lin,WU Yi-ling,CHEN Jing,XI Guang-cheng,JIA Zhen-hua,GU Chun-hua,CHEN Jian-xin,YUAN Guo-qiang,WU Xiang-chun,WEI Cong.Application of entropy partition method for complex system in study of TCM syndrome diagnostic criteria[J].China Journal of Traditional Chinese Medicine and Pharmacy,2008,23(4):307-309. | |
| Authors: | GAO Huai-lin WU Yi-ling CHEN Jing XI Guang-cheng JIA Zhen-hua GU Chun-hua CHEN Jian-xin YUAN Guo-qiang WU Xiang-chun WEI Cong |
| Abstract: | Objective:To explore the application of entropy partition method for complex system in study of TCM syndrome diagnostic criteria.Methods:On the basis of the materials of four diagnostic methods on vascular endothelial dysfunction obtained by clinical epidemiological survey,we studied the diagnostic criteria of syndrome with yin asthenia in the vascular endothelial dysfunction according to the entropy partition method for complex system.Results:The diagnostic criteria of syndrome with yin asthenia in the vascular endothelial dysfunction had a good diagnostic efficiency.Conclusion:The method of entropy partition for complex system is suitable for the study of the diagnostic criteria of syndrome in TCM.It is scientific and strict,and has the realistic clinic values. |
| Keywords: | Entropy partition method for complex system Syndrome in TCM Diagnostic criteria |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |