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作 者:陈坤[1] 朱益民[1] 方顺源[2] 陈燕燕[2]
机构地区:[1]浙江医科大学流行病学教研室,杭州310031 [2]浙江省杭州市卫生防疫站
出 处:《中华疾病控制杂志》1997年第1期15-17,共3页Chinese Journal of Disease Control & Prevention
摘 要:本文在人群冠心病和脑卒中危险因素病例对照研究的基础上,应用模糊数学的原理和方法,通过对冠心病和脑卒中危险因素的数量化,建立了用于人群筛检的数学模型.确定该教学模型的判别问值为0.35时,对冠心病和脑卒中判别的灵敏度分别为71.2%和70.5%;特异度分别为71.4%和81.3%,本方法的显著优点是简便、易行、经济,有利于获得满意的受检率;并可用于个体和群体(社区)的危险度测定及健康教育。Based on case-control studies on risk factors of CHD and stroke, the risk factors of the diseases have been quantified and the mathematical models for the screening of the diseases have been built on some principles and methods of fuzzy mathematics. When the identifing threshold values were set up to 0. 35, the sensitivities for identifing CHD and stroke were 71. 2% and 70.5% respectively; and the specificities were 71.4% and 81.3% respectively. This quantitative method showed that the significant benefits were simple and helpful to obtain a satisfactory response rate. Also, the quantitative methods could be used in health education and measuring the risks of individuals and their population (community) suffering these diseases.
分 类 号:R195.4[医药卫生—卫生统计学]
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