Displaying results 1 - 2 of 2
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Syndromic Prediction Power: Comparing Covariates and Baselines
Content Type: Abstract
The eleven syndrome classifications for clinical data records monitored by BioSense include rare events such as death or lymphadenitis and also common occurrences such as respiratory infections. BioSense currently uses two statistical methods for… read more… models: day-of-week, holiday, total daily health facility visits, and a trend variable (date). Models using different … were computed for syndromic counts of lymphadenitis visits, to represent rare syndromes, respiratory visits, to represent common syndromes, and gastrointestinal … -
Data-Adapted Temporal Alerting Algorithms for Routine Health Monitoring
Content Type: Abstract
This paper discusses selection of temporal alerting algorithms for syndromic surveillance to achieve reliable detection performance based on statistical properties and the epidemiological context of the input data. We used quantities calculated from… read more… alerting algorithms involve four steps: preconditioning, com- putation of expected values, computation of test sta- … From these results, simple data classification schemes may be automated to choose an effective algorithm for a … streams.” Mor- bidity Mortality Weekly Report 2005 Aug 26;54 Suppl:55-62. Further Info.: Howard Burkom, …