摘要
目的:研究新冠肺炎大数据智能随访平台,辅助新冠肺炎随访工作开展。方法:结合大数据与人工智能技术,对随访平台进行架构设计与数据、功能集成。结果:推动随访平台的建设与应用,提升随访效率,辅助新冠肺炎疫情防控。结论:大数据智能随访平台的设计与集成研究对新冠肺炎随访工作开展具有积极的指导意义。
Objective:Study the big data intelligent follow-up platform for Corona Virus Disease 2019(COVID-19),to assist the follow-up work of COVID-19.Methods:Combined with big data and artificial intelligence technology,carry out the architecture design,data and function integration of follow-up platform.Results:Promote the construction and application of follow-up platform,improve the efficiency of follow-up,and assist COVID-19 epidemic prevention and control.Conclusion:The design and integration of big data intelligent follow-up platform has a positive guiding significance for COVID-19 follow-up work.
作者
王飞
黄晓寒
王红迁
罗旭
WANG Fei;HUANGXiao-han;WANG Hong-qian(Medical Affairs Department,the First Hospital Affiliated to AMU,Chongqing 400038,P.R.C.)
出处
《中国数字医学》
2020年第5期73-75,共3页
China Digital Medicine
基金
重庆市社会民生项目(编号:cstc2017shmsA130109)。
关键词
新冠肺炎
随访
大数据
平台
COVID-19
follow-up
big data
platform
