A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic
August 03, 2020 ยท The Cartographer ยท ๐ arXiv.org
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"Title-pattern auto-detect: A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic"
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Authors
Muhammad Nazrul Islam, Toki Tahmid Inan, Suzzana Rafi, Syeda Sabrina Akter, Iqbal H. Sarker, A. K. M. Najmul Islam
arXiv ID
2008.07449
Category
cs.LG: Machine Learning
Cross-listed
cs.AI,
cs.CY
Citations
12
Venue
arXiv.org
Last Checked
3 days ago
Abstract
Artificial intelligence (AI) and machine learning (ML) have made a paradigm shift in health care which, eventually can be used for decision support and forecasting by exploring the medical data. Recent studies showed that AI and ML can be used to fight against the COVID-19 pandemic. Therefore, the objective of this review study is to summarize the recent AI and ML based studies that have focused to fight against COVID-19 pandemic. From an initial set of 634 articles, a total of 35 articles were finally selected through an extensive inclusion-exclusion process. In our review, we have explored the objectives/aims of the existing studies (i.e., the role of AI/ML in fighting COVID-19 pandemic); context of the study (i.e., study focused to a specific country-context or with a global perspective); type and volume of dataset; methodology, algorithms or techniques adopted in the prediction or diagnosis processes; and mapping the algorithms/techniques with the data type highlighting their prediction/classification accuracy. We particularly focused on the uses of AI/ML in analyzing the pandemic data in order to depict the most recent progress of AI for fighting against COVID-19 and pointed out the potential scope of further research.
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