A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
<h3>Background</h3><p dir="ltr">Shortly after the emergence of COVID-19, researchers rapidly mobilized to study numerous aspects of the disease such as its evolution, clinical manifestations, effects, treatments, and vaccinations. This led to a rapid increase in the numbe...
محفوظ في:
| المؤلف الرئيسي: | Alaa Abd-Alrazaq (17430900) (author) |
|---|---|
| مؤلفون آخرون: | Jens Schneider (16885948) (author), Borbala Mifsud (3907267) (author), Tanvir Alam (638619) (author), Mowafa Househ (9154124) (author), Mounir Hamdi (14150652) (author), Zubair Shah (231886) (author) |
| منشور في: |
2021
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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مواد مشابهة
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Chemical disinfectants of COVID-19: an overview
حسب: Al-Sayah, Mohammad
منشور في: (2020) -
Artificial Intelligence in the Fight Against COVID-19: Scoping Review
حسب: Alaa Abd-Alrazaq (17430900)
منشور في: (2020) -
Review on COVID-19 diagnosis models based on machine learning and deep learning approaches
حسب: Abu Zitar, Raed
منشور في: (2021) -
Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach
حسب: Junaed Younus Khan (16870110)
منشور في: (2020) -
Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study
حسب: Alaa Abd-Alrazaq (17430900)
منشور في: (2020)