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In the era of “Big Data”, a challenge is how to optimize our use of huge volumes of data. In this paper, we address this challenge in the context of a public health surveillance system which identifies disease outbreaks using individual and population health indicators. Our goal is to automate and improve the accuracy of the selection process of the health indicators, a process which is data-intensive...
This study tests an approach for identifying sets of over-the-counter (OTC) thermometer products whose aggregate sales correlate optimally with aggregate counts of emergency department (ED) visits where patients have symptoms consistent with Constitutional syndrome such as fever and chills. We show that by using a distributed search engine alongside search algorithms (Brute-force), we can quickly...
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