文章基本信息

标题：Computerized Text Analysis to Enhance Automated Pneumonia Detection
本地全文：下载
作者：Sylvain DeLisle ; Tariq Siddiqui ; Adi Gundlapalli 等
期刊名称：Online Journal of Public Health Informatics
电子版ISSN：1947-2579
出版年度：2013
卷号：5
期号：1
语种：English
出版社：University of Illinois at Chicago
摘要：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%).