Chinese Journal of Schistosomiasis Control ›› 2022, Vol. 34 ›› Issue (5): 465-.

Previous Articles     Next Articles

Progress of researches on medical big data analytics technology

DU Zhi⁃cheng1, ZHANG Zhi⁃jie2*, JIANG Qing⁃wu2   

  1. 1 Department of Medical Statistics, School of Public Health, Sun Yat⁃sen University, Guangzhou, Guangdong 510080, China; 2 Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai 200032, China
  • Online:2022-11-23 Published:2022-11-23

医疗大数据分析技术研究进展

杜志成1,张志杰2*,姜庆五2   

  1. 1 中山大学公共卫生学院医学统计学系(广东 广州 510080);2 复旦大学公共卫生学院流行病学与卫生统计教研室(上海 200032)
  • 通讯作者: 张志杰,博士,硕士生导师。现为复旦大学副教授,地理空间健康全球网络会员、中国地方病协会热带病专业委员会委员,《BMC Medical Research Methodology》等杂志副编辑,《Geospatial Health》、《Chinese Medical Journal》编委。主持包括国家自然科学基金、教育部、上海市卫健委等10余项课题,获上海市预防医学会科学技术奖一等奖、上海市医学科技奖三等奖、中华医学科技奖三等奖、上海市科技进步奖二等奖等奖项,在《The Lancet Regional Health⁃Western Pacific》、《Clinical Infectious Diseases》等国际同行评议期刊发表论文 90 余篇,其中高被引论文2篇。主编《统计学——统计设计和数据搜集、整理与分析(第四版)》、《空间流行病学》等教材与专著4本。
  • 作者简介:杜志成,男,博士研究生,副教授。研究方向:医学统计学
  • 基金资助:
    国家自然科学基金青年基金(82103947)

Abstract: The use of the big data analytics technology to collect, summarize and analyze medical big data is effective to precisely mine and explore the underlying information, which greatly facilitates medical science research and clinical practices. Currently, the medical big data analytics technology mainly includes artificial intelligence, databases and programming languages, which have been widely employed in medical imaging, disease risk prediction, disease control, healthcare management, follow⁃up, and drug and therapy development. This review summarizes the currently available medical big data analytics technologies and their applications, with aims to facilitate the related studies.

Key words: Medical big data, Analytics technology, Artificial intelligence, Medical imaging, Risk prediction, Disease control

摘要: 应用大数据分析技术收集、归纳和分析医疗大数据,能够精准挖掘和探寻其中隐含的信息,为医学研究、临床实践等提供巨大推动作用。当前,医疗大数据分析技术主要包括人工智能、数据库、编程语言等,已被应用于医学影像、疾病风险预测、疾病控制、健康管理、跟踪随访、药物和疗法研发等多个领域。本文主要对医疗大数据分析技术及其应用进行综述,以期推动相关领域研究发展。

关键词: 医疗大数据, 分析技术, 人工智能, 医学影像, 风险预测, 疾病控制

CLC Number: