摘要
健康医疗领域的数据挖掘与知识服务已成为健康医疗大数据产业发展的核心需求之一,数据挖掘作为知识提取的关键技术近年来受到较多关注。文章首先对数据挖掘常用于健康医疗领域的模型与算法进行了梳理与说明;然后分别综述了该技术在辅助完成医疗任务、合理管理医疗资源、改进健康信息服务三大方面的应用现状,并归纳了每方面涉及到的细分应用领域、算法及代表性论文;此外,数据挖掘技术在健康医疗领域中的应用局限和问题也不容忽视,文章按照数据采集、数据预处理、算法选择和结果评估的顺序对现有研究中提到的不足进行总结;最后,提出了数据来源多样化,电子病历挖掘语义化,与云计算、人工智能等领域共同发展的三个未来研究方向。
Data mining and knowledge service in medical and healthcare field has become one of the core needs of the development of related industry.Data mining as the key technology of knowledge extraction has gained much attention in recent years.This paper first summarized common models and algorithms of data mining in the field of medicine and healthcare,and then reviewed the application status of this technology in three aspects,including assistance of completing medical tasks,scientific management of medical resources,and improvement of health information service.Meanwhile,this paper concluded the subdivided application areas,algorithms and representative publications.In addition,it also summarized the limitations and problems according to the data mining process.Finally,three future research directions have been put forward.
出处
《图书情报知识》
CSSCI
北大核心
2018年第5期114-123,共10页
Documentation,Information & Knowledge
关键词
数据挖掘
健康医疗
医疗任务
医疗资源
健康信息服务
Data mining
Medical and healthcare
Medical task
Medical resources
Health information service
