健康大数据挖掘方法研究综述  

An Overview of Health Big Data Mining Method

作　　者：张雷[1] 王云光[1,2] 

机构地区：[1]上海理工大学医疗器械与食品学院,上海200093 [2]上海健康医学院健康信息技术与管理学院,上海200120

出　　处：《软件导刊》2018年第3期1-3,6,共4页Software Guide

摘　　要：为了应对当今社会健康数据持续性爆炸增长的态势,从健康大数据的概念及特点入手,针对其数据挖掘问题进行了研究,明晰了健康大数据挖掘的基本流程,重点分析比对了传统与新兴数据挖掘算法的异同及其应用范围,并对健康大数据挖掘的意义及面临的挑战进行了阐述。最后得到结论,只有将现有的挖掘算法与新兴技术结合起来,才是未来健康大数据挖掘的发展趋势。In response to the continuing explosion of health data in today＇s society, this paper firstly introduces the concept and characteristics of health big data, and then aiming at the problem of data mining, clearing the health the basic processes of data mining, analysis and compare the similarities and differences between traditional and emerging data mining algorithm and its ap- plication scope. Finally,we expounded the significance and challenges of health big data mining, concluded that the existing rain- ing algorithms combined with the emerging technology will be the

关 键 词：健康大数据 数据挖掘 健康医疗 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]