Data Science for COVID-19 Vaccination Management

被引:0
作者
Rezaei, Elham [1 ]
Ghoreyshi, Kajal [1 ]
Sadique, Kazi Masum [2 ]
机构
[1] Linnaeus Univ, Fac Technol, Dept Informat, Kalmar, Sweden
[2] Stockholm Univ SU, Dept Comp & Syst Sci DSV, Stockholm, Sweden
来源
INNOVATIONS IN BIO-INSPIRED COMPUTING AND APPLICATIONS, IBICA 2021 | 2022年 / 419卷
关键词
Data science; COVID-19; Supply chain management; Vaccination; Patient data;
D O I
10.1007/978-3-030-96299-9_80
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Medicine and health are essential sectors in industrial societies. Extracting knowledge from the vast amount of data related to disease records and medical records of individuals using the data mining process can identify the laws governing the creation, growth, and spread of disease and provide valuable information to identify the causes of disease. To diagnose, predict and treat diseases according to the prevailing environmental factors to provide health professionals and practitioners. The result of this issue is to increase life expectancy and create peace for the people of the society. With the spread of the COVID-19 virus in recent months worldwide, various organizations are working to find ways to combat the virus. By using data mining technology, intelligent systems can be developed that can automatically understand and interpret the medical characteristics of individuals and extract useful information that can play an effective role in the process of vaccine supply chain management. In this article, we have proposed a solution for the efficient COVID-19 vaccination management.
引用
收藏
页码:852 / 861
页数:10
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