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主管单位 工业和信息化部 主办单位 哈尔滨工业大学 主编 任南琪 国际刊号ISSN 1672-5565 国内刊号CN 23-1513/Q

引用本文:马天有,胡曦,王丽娜,杜建强,吴晓明.公共卫生大数据研究进展——生物信息的新领域[J].生物信息学,2017,15(4):255-262.
MA Tianyou,HU Xi,WANG Lina,DU Jianqing,WU Xiaoming.New field in bioinformatics——progress of big data research in public health[J].Chinese Journal of Bioinformatics,2017,15(4):255-262.
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公共卫生大数据研究进展——生物信息的新领域
马天有1,胡曦2, 王丽娜2,杜建强2,吴晓明2
(1. 环境与疾病相关基因教育部重点实验室(西安交通大学),西安710061;2. 生物医学信息工程教育部重点实验室(西安交通大学),西安710049)
摘要:
大数据时代的公共卫生面临新的机遇和挑战。为了推动公共卫生大数据的应用,准确把握其内涵,开发针对性的解决方案,达到改善人们健康状况的目的,基于此对公共卫生大数据的现状进行了分析和论证。研究表明:通过对多个不同来源公共卫生数据进行收集和整理,能够形成公共卫生大数据,通过深入挖掘和分析,能够获取重大疾病影响因素、流行病的传播规律等信息,帮助医疗卫生人员和相关机构进行预测和评估,以便采取有效的管理手段和措施,保护人民健康,减少医疗花费。发现通过同生物信息技术相结合,公共卫生数据的获取、管理、分析、安全和应用方面都会有很大的发展空间。认为计算机技术的进一步应用,针对性的大数据挖掘方法开发,以及新型公共卫生人才培养,是发展这一领域的关键因素。
关键词:  公共卫生  大数据  生物信息  数据挖掘  互联网
DOI:10.3969/j.issn.1672-5565.201705005
分类号:R181
文献标识码:A
基金项目:陕西省科技计划项目(2011K12-02-4,1K12-04-06).
New field in bioinformatics——progress of big data research in public health
MA Tianyou1,HU Xi2, WANG Lina2, DU Jianqing2, WU Xiaoming2
(1.Key Laboratory of Environment and Diseases Related Genes of Ministry of Education(Xian Jiaotong University), Xian 710061, China;2. Key Laboratory of Biomedical Information Engineering of Ministry of Education(Xian Jiaotong University), Xian 710049, China)
Abstract:
The public health research faces new challenges and opportunities in the big data era. To promote the application of big data in public health, to understand its basics connotation precisely and to achieve the goal of improving peoples health problem by developing solutions to mine information from the big data, this paper presents the current situation of big data in public health field. It shows that big data will form by collecting and tidying public health related data from different sources. Through in-depth mining and analysis, information relating to disease spread and health threaten would be uncovered and evaluated. Accordingly, measures and suggestions could be made to prevent threatens, to protect peoples health, and to reduce total medical costs. It is also found that by combining with bioinformatics technology, public health research techniques such as data acquisition, system management, information security, and application would have a large room to grow. In conclusion, the application of computer technology, the development of big data mining method, and the cultivation of public health related personnel, are effective factors in the development of this field.
Key words:  Public Health  Big data  Bioinformatics  Data mining  Internet

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