Methods to Develop an Electronic Medical Record Phenotype Algorithm to Compare the Risk of Coronary Artery Disease across 3 Chronic Disease Cohorts
PLoS ONEPublished 24 August 2015Open access
Katherine P. Liao, Ashwin N. Ananthakrishnan, Vishesh Kumar, Zongqi Xia, Andrew Cagan, Vivian S. Gainer
Citations98
SJR quartileQ1
SJR score0.80
SNIP1.07
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TL;DR
An algorithm that would enable the study of coronary artery disease (CAD) across diverse patient populations was developed and validated and the addition of NLP into the CAD algorithm improved the sensitivity of the algorithm, particularly in cohorts where the prevalence of CAD was low.
Abstract
We developed and validated a CAD algorithm that performed well across diverse patient populations. The addition of NLP into the CAD algorithm improved the sensitivity of the algorithm, particularly in cohorts where the prevalence of CAD was low. Preliminary data suggest that CAD risk was significantly lower in RA and IBD compared to DM.
Keywords
Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology
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