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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
IF:
4.5
论文数:
1.7W
被引数:
4.3W

