id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-154587-qbmm5st9	Nguyen, Thanh Thi	Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions	2020-07-30		.txt	text/plain	8182	463	43	We separate surveyed papers into different groups that include: deep learning algorithms for medical image processing, data science methods for pandemic modelling, AI and the Internet of Things (IoT), AI for text mining and NLP, and AI in computational biology and medicine. Another deep learning method based on the concatenation between the location-attention mechanism and the threedimensional CNN ResNet-18 network [6] is proposed in [9] to detect coronavirus cases using pulmonary CT images. Radiology images such as chest X-ray and CT scans are high-dimensional data that require processing capabilities of deep learning methods in which CNN-based models are common and most suitable (e.g. LeNet [2] , AlexNet [3] , GoogLeNet [4] , VGG Net [5] and ResNet [6] ). These applications range from medical diagnosis based on chest radiology images, virus transmission modelling and forecasting based on number of cases time series and IoT data, text mining and NLP to capture the public awareness of virus prevention measures, to biological data analysis for drug discovery.	./cache/cord-154587-qbmm5st9.txt	./txt/cord-154587-qbmm5st9.txt