id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-313222-a1rd7kas	Guo, Zuiyuan	Early warning of some notifiable infectious diseases in China by the artificial neural network	2020-02-19		.txt	text/plain	3864	198	49	The real-time recurrent learning (RTRL) and extended Kalman filter (EKF) methods were performed to analyse four types of respiratory infectious diseases and four types of digestive tract infectious diseases in China to comprehensively determine the epidemic intensities and whether to issue early warning signals. In this study, we used real-time recurrent learning (RTRL) and extended Kalman filter (EKF) to perform early warning research on four types of respiratory infectious diseases (measles, influenza, rubella and mumps) and four types of digestive tract infectious diseases (hepatitis A, hepatitis E, typhoid fever and paratyphoid fever, and bacterial and amoebic dysentery) that have higher incidence rates among notifiable infectious diseases in China. Figure 4 shows the time distribution of the numbers of cases of the four types of respiratory infectious diseases in the same historical period when the early warning signal was issued.	./cache/cord-313222-a1rd7kas.txt	./txt/cord-313222-a1rd7kas.txt