id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-338067-vjyad10p	Hao, Yan	Prediction and analysis of Corona Virus Disease 2019	2020-10-05		.txt	text/plain	4775	258	59	In this study, the development trend analysis of the cumulative confirmed cases, cumulative deaths, and cumulative cured cases was conducted based on data from Wuhan, Hubei Province, China from January 23, 2020 to April 6, 2020 using an Elman neural network, long short-term memory (LSTM), and support vector machine (SVM). In the present study, three methods, namely, an Elman neural network, LSTM, and SVM are applied to predict and analyze COVID-19 data from January 23, 2020 to April 6, 2020 in Wuhan, Hubei Province, China, including cumulative confirmed cases, confirmed new cases, cumulative deaths, new deaths, and cumulative cured cases and new cured cases. Experimental results showed that the Elman neural network and SVM adopted in this study can accurately predict the development trend of COVID-19, whereas LSTM is more suitable for the prediction of cumulative confirmed cases.	./cache/cord-338067-vjyad10p.txt	./txt/cord-338067-vjyad10p.txt