Displaying results 9 - 11 of 11
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A Pilot Study of Aberration Detection Algorithms with Simulated Data
Content Type: Abstract
To evaluate four algorithms with varying baseline periods and adjustment for day of week for anomaly detection in syndromic surveillance data. read more… Introducing Outbreaks into Time Series Data, Adv Dis Surveillance 2007; 2:199. Advances in Disease … -
Performance of an Adaptive Anomaly Detection Algorithm for a Low Incidence Syndrome Before and After a Major Outbreak
Content Type: Abstract
Ideal anomaly detection algorithms should detect both sudden and gradual changes, while keeping the background false positive alert rate at a tolerable level. Further, the algorithm needs to perform well when the need is to detect… read more… injected at 30 different starting dates in October, with all injected outbreaks ending before the flu season. We … and 41-60 days. In the calculation of specifici- ties all alerts outside of the simulated outbreak and the flu … -
The Performance of a NGram Classifier for Patients' Chief Complaint Based on a Computerized Pick List Entry and Free Text in an Italian Emergency Department
Content Type: Abstract
Syndromic surveillance of emergency department (ED) visit data is often based on computer algorithms which assign patient chief complaints (CC) and ICD code data to syndromes. The triage nurse note (NN) has also been used for… read more… Hospital Residency in Emergency Medicine, 5 Dipartimento di Emergenza e Accettazione e Medicina d'Urgenza. Azienda …