An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk.
Raghunath S, Pfeifer JM, Kelsey CR, Nemani A, Ruhl JA, Hartzel DN, Ulloa Cerna AE, Jing L, vanMaanen DP, Leader JB, Schneider G, Morland TB, Chen R, Zimmerman N, Fornwalt BK, Haggerty CM.
Raghunath S, et al. Among authors: fornwalt bk.
J Electrocardiol. 2023 Jan-Feb;76:61-65. doi: 10.1016/j.jelectrocard.2022.11.001. Epub 2022 Nov 8.
J Electrocardiol. 2023.
PMID: 36436476
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