id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cord-254635-gtgahlqm	Sun, Guanghao	An infectious disease/fever screening radar system which stratifies higher-risk patients within ten seconds using a neural network and the fuzzy grouping method	2014-12-23		.txt	text/plain	3642	149	49	Avian influenza A (H5N1) infection in humans Clinical review: primary influenza viral pneumonia Mortality associated with influenza and respiratory syncytial virus in the United States Pandemic flu: clinical management of patients with an influenza-like illness during an influenza pandemic Analysis of IR thermal imager for mass blind fever screening The use of infrared thermometry for the detection of fever Mass screening of suspected febrile patients with remotesensing infrared thermography: alarm temperature and optimal distance Field test studies of our infrared-based human temperature screening system embedded with a parallel measurement approach Fever screening during the influenza (H1N1-2009) pandemic at Narita International Airport A novel screening method for influenza patients using a newly developed non-contact screening system The self-organizing map Some methods for classification and analysis of multivariate observations A novel infection screening method using a neural network and k-means clustering algorithm which can be applied for screening of unknown or unexpected infectious diseases Fuzzy c-means clustering with spatial information for image segmentation Robust information gain based fuzzy c-means clustering and classification of carotid artery ultrasound images A robust fuzzy local information c-means clustering algorithm Since a neural network provides an efficient method of classifying multi-dimensional data, we have proposed a method that uses a neural network to distinguish influenza patients from normal control subjects.	cache/cord-254635-gtgahlqm.txt	txt/cord-254635-gtgahlqm.txt
