Computerized Text Analysis to Enhance Automated Pneumonia Detection
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How to Cite

DeLisle, S., Siddiqui, T., Gundlapalli, A., Samore, M., & D’Avolio, L. (2013). Computerized Text Analysis to Enhance Automated Pneumonia Detection. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4602

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%).
https://doi.org/10.5210/ojphi.v5i1.4602
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