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Lessons (Machine) Learned From COVID-19

delete2023-06-22
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OA
AI
T
Timothy Sullivan *
DOI:10.1093/infdis/jiad224delete
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摘要

摘要

En 中文
Since coronavirus disease 2019 (COVID-19) first emerged more than 3 years ago, more than 1200 articles have been written describing lessons learned from the pandemic. While these articles may contain valuable insights, reading them all would be impossible. A machine learning clustering analysis was therefore performed to obtain an overview of these publications and to highlight the benefits of using machine learning to analyze the vast and ever-growing COVID-19 literature.
Keyword:
COVID-19
SARS-CoV-2
biomedical publishing
machine learning

期刊

Journal of Infectious Diseases 封面图
Journal of Infectious Diseases
IF:
4.5
论文数:
1.7W
被引数:
4.3W

机构

I
Icahn School of Medicine at Mount Sinai
学者数:
4.6W
论文数: 3.4W
被引数: 58
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