面向健康医疗的分类关联规则挖掘研究  

Research on classification association rule mining for health care

作　　者：孙明瑞[1] 臧天仪[1] SUN Mingrui;ZANG Tianyi(School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]哈尔滨工业大学计算机科学与技术学院,哈尔滨150001

出　　处：《智能计算机与应用》2020年第2期1-6,11,共7页Intelligent Computer and Applications

基　　金：国家重点研发计划项目(2016YFC0901605,2016YFC1201702-01);国家高技术研究发展计划(2012AA02A601,2015AA020101,2015AA020108)。

摘　　要：数据的爆炸式增长使知识和规则隐式地存在于数据中不被发现,形成资源孤岛,造成资源浪费。关联分析用以挖掘大规模、海量数据中隐式的关联规则模式。提出一种面向健康医疗的分类关联规则挖掘算法,用以挖掘大规模个人健康数据间隐藏的分类关联规则模式,对健康医疗及其它领域中基于关联规则的推荐具有新价值。With the data increases exponentially,knowledge and rules are implicitly hidden in the data and are not discovered,forming resource islands and resulting in waste of resources.Association analysis is used to mine implicit association rules in largescale,massive data.This paper proposes a classification association rule mining algorithm for health care,used to mine hidden classification association rules between large-scale personal health data,which could bring new value to association rule-based recommendations in health care and other areas.

关 键 词：关联分析 频繁项集 分类关联规则 健康医疗 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]