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We evaluated a data clearinghouse approach to biosurveillance using clinical microbiologic laboratory data.
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In this paper we present and evaluate a data integration approach for detecting spatial and temporal trends in post-fire logging.
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Our objective was to develop and evaluate a data-driven screening algorithm for emerging drug safety signals that accounts for report quality and content.
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The performance of the algorithm was evaluated on a data set from Tencent Weibo and compared to several regression-based methods.
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