Acta Metallurgica Sinica

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Use of big data - targeted prevention and control of regional and seasonal diseases in obstetrics.

GONG Jing-jin*,LIU Shi-liang,CHEN Dun-jin*..   

  1. *Department of Obstetrics and Gynecology,Guangzhou Medical University and the Third Affiliated Hospital,Guangzhou Medical Center for Critical Pregnant Women,Guangzhou 510150,China
  • Online:2015-12-01 Published:2016-05-03

利用大数据有的放矢防治地区和季节差异性产科疾病

龚景进,刘世良,陈敦金   

  1. 作者单位: 1.广州医科大学附属第三医院 广州重症孕产妇救治中心,广东 广州 510150;2.加拿大卫生部公共卫生署 加拿大渥太华大学医学院
  • 通讯作者: 陈敦金
  • 基金资助:

    广州市2011产科重大疾病协同创新中心(13XT04)

Abstract:

Abstract:The 21st century is the era of big data. Big data technology provides a new research method for the scientific research, which is to be driven by previous assumptions transforming to data driven. Big data technology is used to make data mining,comparison,cluster analysis and correlation analysis with the huge amounts of data in order to explore the rule and put forward experimental hypothesis or reliable experimental conclusion. This paper mainly describes the characteristics of regional and seasonal diseases, the role of big data in the disease prevention, how to use big data thinking to study regiond and seasonal obstetric diseases and how to make use of big data technologies in targeted prevention and control of regional and seasonal obstetric diseases.

Key words: big data, regional differences, seasonal differences, obstetric disease

摘要:

21世纪是大数据的时代。大数据技术为科研提供了一种新的研究方法,由以往的假设驱动向数据驱动转变。利用大数据技术,对海量数据进行数据发掘、比较、聚类分析、相关性分析等,探索其中的规律,直接提出实验假设或得出可靠的实验结论。该文阐述地区性和季节性疾病的特点,以及大数据在疾病防控方面的作用;如何利用大数据思维研究地区和季节差异性产科疾病;如何利用大数据技术,有的放矢防治地区和季节差异性产科疾病。

关键词: 大数据, 区域差异性, 季节差异性, 产科疾病

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