摘要
目的在健康医疗大数据时代,更快、更精准地获取环境绿地暴露水平数据,助力对绿色植被暴露与健康的研究。方法利用Python设计一套能够进行自动化采集绿色植被指数的技术流程和程序。同时以国家健康医疗大数据平台为依托,对边缘计算在绿色植被指数采集应用进行探究和展望。结果该程序的运行极大缩短了对植被指数的处理时间,并且与传统专业软件获取的结果比较,具有较高的一致性,r>0.99。结论基于边缘计算的绿色植被指数的自动化采集可为国内绿色植被暴露与健康的研究提供技术支持。
Objective In the era of big data about health care,faster and more accurate access to environmental green space exposure level data help scholars to research on green vegetation exposure and health.Methods We use Python to design a technical process and procedure to automate the collection of green vegetation index.and also exploreand prospect the application of edge computing in green vegetation index collection based on the national health care big data platform.Results The operation of the program greatly reduced the processing time of the vegetation indices and provides a high degree of consistency in comparison with the results obtained by traditional professional software.Conclusion Automated collection of green vegetation indices based on edge computing can provide technical support for domestic research on green vegetation exposure and health.
作者
贾贤杰
刘超
季晓康
薛付忠
JIA Xian-jie;LIU Chao;JI Xiao-kang;XUE Fu-zhong(Department of Biostatistics,School of Public Health,Cheeloo College of Medicine,Shandong University,Jinan 250012,China;National Institute of Health Data Science of China,Jinan 250003,China;Department of Epidemiology and Statistics,School of Public Health,Bengbu Medical University,Bengbu 233030,China)
出处
《中华疾病控制杂志》
CAS
CSCD
北大核心
2022年第10期1167-1173,共7页
Chinese Journal of Disease Control & Prevention
基金
国家重点研发计划(2020YFC2003500)。
