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Implementation of a Machine-Learning Algorithm in the Electronic Health Record for Targeted Screening for Familial Hypercholesterolemia: A Quality Improvement Study.

作者信息

Sheth Samip, Lee Paul, Bajaj Archna, Cuchel Marina, Hajj Jihane, Soffer Daniel E, Webb Gayley, Hossain Erik, Borovskiy Yulia, Risman Marjorie, Myers Kelly D, Wilemon Katherine A, Rader Daniel J, Jacoby Douglas

机构信息

Department of Medicine (S.S., P.L., A.B., M.C., J.H., D.S., G.W., M.R., D.R., D.J.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia.

Data Analytics Center (E.H., Y.B.), Perelman School of Medicine at the University of Pennsylvania, Philadelphia.

出版信息

Circ Cardiovasc Qual Outcomes. 2021 Jun;14(6):e007641. doi: 10.1161/CIRCOUTCOMES.120.007641. Epub 2021 Jun 10.

Abstract
摘要

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本文引用的文献

1
Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data.
Lancet Digit Health. 2019 Dec;1(8):e393-e402. doi: 10.1016/S2589-7500(19)30150-5. Epub 2019 Oct 21.
2
Diagnosis and Treatment of Heterozygous Familial Hypercholesterolemia.
J Am Heart Assoc. 2019 Dec 17;8(24):e013225. doi: 10.1161/JAHA.119.013225. Epub 2019 Dec 16.
4
Rapid identification of familial hypercholesterolemia from electronic health records: The SEARCH study.
J Clin Lipidol. 2016 Sep-Oct;10(5):1230-9. doi: 10.1016/j.jacl.2016.08.001. Epub 2016 Aug 6.
5
The Agenda for Familial Hypercholesterolemia: A Scientific Statement From the American Heart Association.
Circulation. 2015 Dec 1;132(22):2167-92. doi: 10.1161/CIR.0000000000000297. Epub 2015 Oct 28.

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