Article
Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?
Heart rhythm - 1 Jan 2021
Bleijendaal Hidde, Ramos Lucas A, Lopes Ricardo R, Verstraelen Tom E, Baalman Sarah W E, Oudkerk Pool Marinka D, Tjong Fleur V Y, Melgarejo-Meseguer Francisco M, Gimeno-Blanes F Javier, Gimeno-Blanes Juan R, Amin Ahmad S, Winter Michiel M, Marquering Henk A, Kok Wouter E M, Zwinderman Aeilko H, Wilde Arthur A M, Pinto Yigal M
Abstract excerpt
BACKGROUND: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool used in ECG analysis and has shown to outperform cardiologists. OBJECTIVES: We aimed to develop machine learning and deep learning models to diagnose PLN p.Arg14del...
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