id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-118509-nws464ug	Islam, Muhammad Nazrul	A Survey on the Use of AI and ML for Fighting the COVID-19 Pandemic	2020-08-03		.txt	text/plain	5214	269	48	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. Most of the articles (n =16, 48%) were published focusing to detect the COVID-19 infected patients using different AI-based algorithms that include, for example, the Convoluted Neural Network (CNN) model, Support Vector Machine (SVM), generative adversarial network (GAN), and the transfer learning.	./cache/cord-118509-nws464ug.txt	./txt/cord-118509-nws464ug.txt