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本文采用系统聚类法和事件概率回归法对经脑CT或MRI确诊的2296例急性脑血管病(脑出血、脑梗塞和蛛网膜下腔出血)和134例假中风对照组(脑肿瘤、脑脓肿、脑囊虫病、高位颈椎管肿瘤和无明确外伤史的硬膜外血肿)进行了回归分析,筛选出对中医中风诊断有显著性意义的临床指标12项。经模糊综合判断,加权平均合成运算,设立中风病名修订诊断判断式。与1986年全国中医学会内科学会制定的中风病诊断标准对比,本定量化诊断数学模型判断式中风诊断吻合率由87.92%上升为93.65%,假阳性率由29.10%下降为23.13%。
In this paper, 2296 cases of acute cerebrovascular disease (cerebral hemorrhage, cerebral infarction and subarachnoid hemorrhage) and 134 cases of false stroke (brain tumor, brain abscess) diagnosed by brain CT or MRI were identified by using the method of cluster analysis and event probability regression , Cerebral cysticercosis, high cervical spinal tumor and epidural hematoma without clear history of trauma) were analyzed by regression analysis, and 12 clinical indicators with significant significance for the diagnosis of stroke were screened out. The fuzzy comprehensive judgment, the weighted average synthesis operation, the establishment of stroke disease revision diagnostic judgment. Compared with the diagnostic criteria for stroke diagnosed by the Chinese Society of Internal Medicine in 1986, the diagnostic accuracy of this quantitative diagnostic mathematical model increased from 87.92% to 93.65% and the false positive rate decreased from 29.10% to 23.13%.