Computerized Text Analysis to Enhance Automated Pneumonia Detection
DOI:
https://doi.org/10.5210/ojphi.v5i1.4602Abstract
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%).Published
2013-03-24
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
Issue
Section
Oral Presentations: Syndrome Development & Validation & Natural Language Processing