Understanding detection performance in public health surveillance: modeling aberrancy-detection algorithms.

Objective: Statistical aberrancy-detection algorithms play a central role in automated public health systems, analyzing large volumes of clinical and administrative data in real-time with the goal of detecting disease outbreaks rapidly and accurately. Not all algorithms perform equally well in terms...

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Bibliographic Details

Published in:	Journal of the American Medical Informatics Association Vol. 15; no. 6; pp. 760 - 770
Main Authors:	Buckeridge DL, Okhmatovskaia A, Tu S, O'Connor M, Nyulas C, Musen MA, Buckeridge, David L, Okhmatovskaia, Anna, Tu, Samson, O'Connor, Martin, Nyulas, Csongor, Musen, Mark A
Format:	research Journal Article
Published:	Oxford University Press / USA Nov/Dec2008
Online Access:	View this record in EBSCOhost