id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_zg4qriee75dphc3uvx6own7gka	Haruna Chiroma	Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks	2020	45	.pdf	application/pdf	20583	2358	55	applied machine learning to fight COVID-19 pandemic from a different perspective. Many studies adopted machine learning to fight the COVID-19 pandemic from a COVID-19 datasets that can guide researchers access different data for studies on (2020) applied transfer learning with CNN to detect COVID-19 from X-ray images applied a deep learning algorithm on a chest CT scan of a patient with COVID-19 to result and non-image clinical information to predict COVID-19 infection in a patient. learning approach to predict COVID-19 potential infections based on reported cases in (2020) developed a machine learning COVID-19 predictive model and deployed Table 3 The summary of the COVID-19 diagnostic tools based on machine learning algorithms. deep learning application to COVID-19 medical imaging analysis, and listed and described Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks Early survey with bibliometric analysis on machine learning approaches in controlling COVID-19 outbreaks	./cache/work_zg4qriee75dphc3uvx6own7gka.pdf	./txt/work_zg4qriee75dphc3uvx6own7gka.txt