咨询与建议

限定检索结果

文献类型

  • 1 篇 期刊文献

馆藏范围

  • 1 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1 篇 理学
    • 1 篇 数学
  • 1 篇 工学
    • 1 篇 电气工程
    • 1 篇 电子科学与技术(可...
    • 1 篇 信息与通信工程
    • 1 篇 控制科学与工程
    • 1 篇 计算机科学与技术...
    • 1 篇 网络空间安全
  • 1 篇 管理学
    • 1 篇 图书情报与档案管...

主题

  • 1 篇 covid-19
  • 1 篇 association rule...
  • 1 篇 infection patter...

机构

  • 1 篇 pathology and la...
  • 1 篇 saudi human geno...
  • 1 篇 computer science...
  • 1 篇 biology departme...

作者

  • 1 篇 albassam ayman
  • 1 篇 althobaiti hassa...
  • 1 篇 alafif tarik
  • 1 篇 hawsawi yousef
  • 1 篇 etaiwi alaa
  • 1 篇 alrefaei abdulma...

语言

  • 1 篇 英文
检索条件"主题词=Association rules apriori algorithm"
1 条 记 录,以下是1-10 订阅
排序:
DISCOVID: discovering patterns of COVID-19 infection from recovered patients: a case study in Saudi Arabia
收藏 引用
International Journal of Information Technology (Singapore) 2022年 第6期14卷 2825-2838页
作者: Alafif, Tarik Etaiwi, Alaa Hawsawi, Yousef Alrefaei, Abdulmajeed Albassam, Ayman Althobaiti, Hassan Computer Science Department Jamoum University College Umm Al-Qura University Makkah Jamoum 25375 Saudi Arabia Pathology and laboratory medicine Department King Faisal Specialist Hospital and Research Center Makkah Jeddah 21499 Saudi Arabia Saudi Human Genome program-Jeddah Satellite Laboratory Research Center King Faisal Specialist Hospital and Research Center Makkah Jeddah 21499 Saudi Arabia Biology Department Umm Al-Qura University Makkah Jamoum 25375 Saudi Arabia
A respiratory syndrome COVID-19 pandemic has become a serious global concern. Still, a large number of people have been daily infected worldwide. Discovering COVID-19 infection patterns is significant for health provi... 详细信息
来源: 评论