Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.

Journal: Circulation. Cardiovascular quality and outcomes

Published Date: Oct 1, 2018

No abstract available for this article.

Nikolaos Papoutsidakis

Section of Cardiovascular Medicine, Department of Internal Medicine Yale School of Medicine, New Haven, CT (N.P., D.L.J.).
Stephen B Heitner

Oregon Health and Science University, Knight Cardiovascular Institute Hypertrophic Cardiomyopathy and Cardiogenetics Centers, Portland (S.B.H., M.C.M., K.E.).
Meghan C Mannello

Oregon Health and Science University, Knight Cardiovascular Institute Hypertrophic Cardiomyopathy and Cardiogenetics Centers, Portland (S.B.H., M.C.M., K.E.).
Anna Rodonski

Yale New Haven Hospital Heart and Vascular Center, New Haven, CT (A.R.).
William Campbell

Yale New Haven Hospital Heart and Vascular Center, New Haven, CT (A.R.).
Kylie McElheran

Oregon Health and Science University, Knight Cardiovascular Institute Hypertrophic Cardiomyopathy and Cardiogenetics Centers, Portland (S.B.H., M.C.M., K.E.).
Daniel L Jacoby

Section of Cardiovascular Medicine, Department of Internal Medicine Yale School of Medicine, New Haven, CT (N.P., D.L.J.).

Arrhythmogenic Right Ventricular Dysplasia Cardiomyopathy, Dilated Cardiomyopathy, Hypertrophic, Familial Computational Biology Data Mining Genetic Predisposition to Disease Genetic Testing Genetic Variation Heredity High-Throughput Nucleotide Sequencing Humans Machine Learning Pedigree Phenotype Predictive Value of Tests Prognosis Reproducibility of Results Risk Assessment Risk Factors

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