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A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome

Wendy Chapman 1 John Dowling 1 Gregory F Cooper 1 Milos Hauskrecht 2 Michal Valko 2, 3, *
* Corresponding author
1 Department of Biomedical Informatics
2 Department of Computer Science - University of Pittsburgh
3 SEQUEL - Sequential Learning
LIFL - Laboratoire d'Informatique Fondamentale de Lille, LAGIS - Laboratoire d'Automatique, Génie Informatique et Signal, Inria Lille - Nord Europe
Abstract : Automated syndromic surveillance systems often classify patients into syndromic categories based on free-text chief complaints. Chief complaints (CC) demonstrate low to moderate sensitivity in identify-ing syndromic cases. Emergency Department (ED) reports promise more detailed clinical information that may increase sensitivity of detection.
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Conference papers
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https://hal.inria.fr/hal-00643495
Contributor : Michal Valko <>
Submitted on : Tuesday, November 22, 2011 - 10:00:32 AM
Last modification on : Tuesday, November 24, 2020 - 2:18:20 PM
Long-term archiving on: : Thursday, February 23, 2012 - 2:21:23 AM

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  • HAL Id : hal-00643495, version 1

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Wendy Chapman, John Dowling, Gregory F Cooper, Milos Hauskrecht, Michal Valko. A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome. International Society for Disease Surveillance, Oct 2006, Baltimore, United States. ⟨hal-00643495⟩

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