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目的:发现不同年龄、性别的人群及不同类型的血脂异常与脂肪肝之间的关系,为早期防治高脂血症及脂肪肝提供科学依据.方法:选择体检数据中性别、年龄、甘油三酯TG、总胆固醇TC、高密度脂蛋白胆固醇HDL、低密度脂蛋白胆固醇LDL以及肝脏彩超结果作为源数据库,利用Apriori算法进行关联规则挖掘;最后对产生的规则进行解释.结果共形成34个强关联规则,这些强关联规则中蕴涵脂肪肝发病与性别、年龄及各类型血脂异常之间的关联关系.结论:本方法有利于发现隐藏在大量体检数据中有价值的信息,为医院体检中心提供了新的研究方法,具有一定的应用价值.
OBJECTIVE: To find out the relationship among different age and sex groups and different types of dyslipidemia and fatty liver, and to provide a scientific basis for the prevention and treatment of hyperlipidemia and fatty liver.Methods: The data of physical examination, including gender, age, triglyceride TG, total cholesterol TC, high-density lipoprotein cholesterol HDL, low-density lipoprotein cholesterol LDL and liver color Doppler ultrasound were used as the source database, Apriori algorithm was used to mine the association rules.At last, the rules were explained.Results A total of 34 strong associations Rules, these strong association rules implicated the incidence of fatty liver and sex, age and the relationship between the various types of dyslipidemia.Conclusion: This method is conducive to find valuable information hidden in a large number of physical examination data for the hospital medical center provides New research methods, has a certain application value.