Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data

Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data

Summary: Background: Cardiovascular outcomes for people with familial hypercholesterolaemia can be improved with diagnosis and medical management. However, 90% of individuals with familial hypercholesterolaemia remain undiagnosed in the USA. We aimed to accelerate early diagnosis and timely interve...

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Main Authors: Kelly D Myers, BS, Joshua W Knowles, MD, David Staszak, PhD, Michael D Shapiro, DO, William Howard, PhD, Mrinal Yadava, MD, David Zuzick, MBA, Latoya Williamson, MS, Nigam H Shah, PhD, Juan M Banda, PhD, Joe Leader, BS, William C Cromwell, MD, Ed Trautman, PhD, Michael F Murray, ProfMD, Seth J Baum, MD, Seth Myers, PhD, Samuel S Gidding, MD, Katherine Wilemon, BS, Daniel J Rader, ProfMD
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750019301505

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http://www.sciencedirect.com/science/article/pii/S2589750019301505

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