id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-255884-0qqg10y4	Chiroma, H.	Early survey with bibliometric analysis on machine learning approaches in controlling coronavirus	2020-11-05		.txt	text/plain	13197	767	47	Therefore, the main goal of this study is to bridge this gap by carrying out an in-depth survey with bibliometric analysis on the adoption of machine-learning-based technologies to fight the COVID-19 pandemic from a different perspective, including an extensive systematic literature review and a bibliometric analysis. Moreover, the machine-learning-based algorithm predominantly utilized by researchers in developing the diagnostic tool is CNN mainly from X-rays and CT scan images. We believe that the presented survey with bibliometric analysis can help researchers determine areas that need further development and identify potential collaborators at author, country, and institutional levels to advance research in the focused area of machine learning application for disease control. (2020) proposed a joint model comprising CNN, support vector machine (SVM), random forest (RF), and multilayer perceptron integrated with chest CT scan result and non-image clinical information to predict COVID-19 infection in a patient.	./cache/cord-255884-0qqg10y4.txt	./txt/cord-255884-0qqg10y4.txt