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COVID-19 studies involving machine learning methods: A bibliometric study
3
Zitationen
4
Autoren
2023
Jahr
Abstract
This study provides useful insights for academics and clinicians studying COVID-19 using ML. Through bibliometric data analysis, scholars can learn about highly recognized and productive authors and countries, as well as the publications with the most citations and keywords. New data and methodologies from the pandemic are expected to advance ML and AI modeling. It is crucial to recognize that these studies will pioneer this subject.
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