id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-288494-6qybdxc4	Liao, Qiaohong	A clinical prediction rule for diagnosing human infections with avian influenza A(H7N9) in a hospital emergency department setting	2014-08-05		.txt	text/plain	4550	206	45	We analyzed two databases that contained clinical and basic laboratory data from two groups of patients presenting similarly with acute respiratory infections to hospitals in China, including 121 laboratory-confirmed A(H7N9) cases and 2,603 patients who suffered from acute respiratory infections other than A(H7N9) influenza. A two-step regression model was used to develop the prediction rule, so as to simulate the decision making process in the setting of a clinic or hospital emergency room where a patient first presents [12, 13] . We had chosen the model with the best performance in terms of both the high sensitivity and area under the ROC curve, which were also maintained in the validation samples, to identify patients having a high risk for the infection at their initial clinical presentation so as to optimize resources during an epidemic.	./cache/cord-288494-6qybdxc4.txt	./txt/cord-288494-6qybdxc4.txt