期刊
JOURNAL OF BIOMEDICAL INFORMATICS
卷 63, 期 -, 页码 108-111出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jbi.2016.08.005
关键词
Electronic medical records; Prevalence; Incidence; Comorbidity; Bias
资金
- NLM NIH HHS [R01 LM005652] Funding Source: Medline
Electronic medical records (EMR) represent a convenient source of coded medical data, but disease patterns found in EMRs may be biased when compared to surveys based on sampling. In this communication we draw attention to complications that arise when using EMR data to calculate disease prevalence, incidence, age of onset, and disease comorbidity. We review known solutions to these problems and identify challenges for future work. (C) 2016 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据