Computerized Text Analysis to Enhance Automated Pneumonia Detection

descriptionPublicationkeyboard_double_arrow_right Article 24 Mar 2013Publisher:University of Illinois LibrariesJournal:Online Journal of Public Health Informatics, volume 5 (eissn: 1947-2579,

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Authors: Sylvain DeLisle; Tariq Siddiqui; Adi Gundlapalli; Matthew Samore; Leonard D'Avolio;

doi: 10.5210/ojphi.v5i1.4602

Computerized Text Analysis to Enhance Automated Pneumonia Detection

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Abstract

Information about disease severity could help with both detection and situational awareness during outbreaks of acute respiratory infections. In this work, we describe the methods by which automated text analyses of chest imaging reports can combine with structured EMR data to accurately identify outpatients with pneumonia (sensitivities of 58-75%, and PPV of 64-86%).

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