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作 者:Zhichen Zhang Shaozhen Ji Xuejie Yu Xianglan Jin Liping Zhang Rongjuan Guo Hong Zheng Mingqi Wang Yunling Zhang
机构地区:[1]Dongfang Hospital,Beijing University of Chinese Medicine,Beijing,China [2]Beijing University of Chinese Medicine,Beijing,China
出 处:《Journal of Traditional Chinese Medical Sciences》2014年第1期9-19,共11页中医科学杂志(英文)
基 金:This work was supported by the National Basic Research Program of China(973 Program)under Grants No.2012CB518406 and 2006CB504805;the National Science Foundation of China(Grant No.81173463).
摘 要:Objective:To establish a diagnostic system for heat toxin syndrome of acute cerebral infarction.Based on this toxin syndrome diagnostic system,the general principles of heat toxin development will be uncovered,and the critical turning point at which the heat toxin syndrome occurs will also be explored.Methods:In this study,a total of 271 hypertension patients with cerebral infarction within 72 h were recruited from the Affiliated Dongfang Hospital of the Beijing University of Chinese Medicine,the Affiliated Dongzhimen Hospital of Beijing University of Chinese Medicine,the Affiliated Renmin Hospital of Peking University,the Second Affiliated Hospital of Tianjin University of Traditional Chinese Medicine,the Affiliated Hospital of Shandong University of Traditional Chinese Medicine,the Affiliated Hospital of Changchun University of Traditional Chinese Medicine,the Affiliated Hospital of Hebei University of Traditional Chinese Medicine and China Meitan General Hospital from August,2008,to December,2009.The patients’Chinese medical information was recorded on days 1,3,5,7,and 14 during their hospitalizations.The medical records were recorded according to traditional Chinese medicine(TCM)theory and included the serum marker levels at the beginning and at the end of the trial.The time line was also analyzed.Results:The level of Hs-CRP,PAG,NSE,OX-LDL,and MMP-9 were abnormal and,were higher in CI patients compared to hypertension patients.In the study of the heat toxin diagnosis system,according to the entropy clustering results,30 combinations of the medical information can be sorted into the traditional syndromes,but 13 combinations cannot be sorted.To obtain more precise symptoms related to the heat toxins,a logistic regression equation was set up with the variables from the unsorted medical information;the dependent variables were fever and BP fluctuation.Weighted variables were obtained.MLP analysis demonstrated that the diagnosis model was stable and precise.The accuracy reached 83.82%.The ROC test showed that se
关 键 词:Acute cerebral infarction Heat toxin syndrome Turning point Data mining
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