id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-017516-qbksb83c	Si, Yain-Whar	Hidden Cluster Detection for Infectious Disease Control and Quarantine Management	2009-09-30		.txt	text/plain	3358	158	46	Our prototype Infectious Disease Detection and Quarantine Management System (IDDQMS), which can identify and trace clusters of infection by mining patients' history, is introduced in this paper. The SARS (Severe Acute Respiratory Syndrome) outbreak in 2003 and recent world-wide avian flu infections have contributed to the urgent need to search for efficient methods for prevention and control of highly infectious diseases. Given this background, this research aims to develop a decision support system which can be used to locate the source of an outbreak by mining clusters and communities from the patients' past activities (testimonies) using techniques from infectious disease control, information visualization, and database management systems. IDDQMS (see Figure 1 ) consists of four modules; information extraction, data analysis, hidden cluster detection, and quarantine management. In this paper, we have described our novel prototype system on Infectious Disease Detection and Quarantine Management, which can be used to identify and trace clusters of infection by mining patients' history.	./cache/cord-017516-qbksb83c.txt	./txt/cord-017516-qbksb83c.txt