| 摘 要: 随着中国互联网越来越快的发展，互联网+、大数据和人工智能技术等最新科技技术也越来越多的渗透 到医疗领域，对于提升多种疾病的筛查和诊断效率作用明显，而大数据处理技术上仍然面对着许多难题。本课题针对智 慧医疗发展的难点之一，将大数据处理技术和医疗海量数据相结合，应用Apriori关联规则算法在医疗信息系统中海量 医疗数据中的应用，发现疾病与其他疾病之间的联系，从而为人们的健康预警及医疗机构对疾病的诊断提供科学依据参 考，本文实验数据以心肌炎和胃癌为例，发现与病症相关性强的病因。 |
| 关键词: 智慧医疗；数据挖掘；关联规则；医疗大数据 |
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中图分类号: TP301
文献标识码: A
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| 基金项目: 2017年度广东省科技计划协同创新与平台环境建设项目(项目编号：2017A040406001)；2016年度广东省佛山市科技创新项目(项目编号：2016AG100792). |
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| Implementation of the Association Rule Algorithm in Medical Big Data |
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LI Qiang,CHEN Dongtao,LUO Xianlu
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( Guangdong Neusoft University, Foshan 528225, China)
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| Abstract: With the rapid development of Internet in China,Internet+,big data,artificial intelligence and other latest technologies are increasingly involved in the medical field,promoting the screening and diagnosis of various diseases. However,there are still many challenges in big data processing techniques.Aimed at the development of smart medical care,this paper combines big data processing technology with massive medical data and adopts the Apriori algorithm in massive medical data in the medical information system,to identify the relationship between one disease and others. Therefore,it provides some scientific evidence and reference for health warning and disease diagnosis in medical institutions. The study is conducted with the experimental data of myocarditis and gastric cancer. |
| Keywords: smart medical care;data mining;association rules; medical big data |
