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The Application of Association Rule Mining in the Diagnosis of Pancreatic Cancer

机译:关联规则挖掘在胰腺癌诊断中的应用

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The method of association rule mining used in cases of diagnostic work, you can find out the relationship between the etiology level factors from a large number of cases recorded, from mining association rules in the diagnosis of pancreatic cancer database to discover the relationship pancreatic cancer and blood group age, gender, environment, diet, genetic predisposition, mood state factors, which found that the factors of pancreatic disease it may rule, diagnosis and prevention of pancreatic cancer cases are important guiding significance.
机译:在诊断工作中使用关联规则挖掘的方法,您可以从记录的大量病例中找出病因水平因素之间的关系,从胰腺癌诊断数据库中挖掘关联规则来发现胰腺癌与胰腺癌之间的关系。血型的年龄,性别,环境,饮食,遗传易感性,情绪状态等因素,从而发现可能影响胰腺疾病的因素,对胰腺癌病例的诊断和预防具有重要的指导意义。

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