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Predicting stroke in Asian patients with atrial fibrillation using machine learning: A report from the KERALA-AF registry, with external validation in the APHRS-AF registry

Yang Chen, Ying X. Gue, Peter Calvert, Dhiraj Gupta, Garry McDowell, Jinbert Lordson Azariah, Narayanan Namboodiri, Tommaso Bucci, A. Jabir, Hung‐Fat Tse,

Current Problems in Cardiology · 2024 · 28 citations · 16 references

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16

Stroke and Bleeding in Atrial Fibrillation with Chronic Kidney Disease

Jonas Bjerring Olesen, Gregory Y.H. Lip, Anne‐Lise Kamper et al. · New England Journal of Medicine · 2012 · 924 citations · Full text

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Interpretation of Compound Activity Predictions from Complex Machine Learning Models Using Local Approximations and Shapley Values

Raquel Rodríguez-Pérez, Jürgen Bajorath · Journal of Medicinal Chemistry · 2019 · 512 citations · Full text

, , +17

Higher risk of death and stroke in patients with persistent vs. paroxysmal atrial fibrillation: results from the ROCKET-AF Trial

Benjamin A. Steinberg, Anne S. Hellkamp, Yuliya Lokhnygina et al. · European Heart Journal · 2014 · 356 citations · Full text

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Occurrence of death and stroke in patients in 47 countries 1 year after presenting with atrial fibrillation: a cohort study

Jeff S. Healey, Jonas Oldgren, Michael D. Ezekowitz et al. · The Lancet · 2016 · 284 citations

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Left atrial size and risk for all-cause mortality and ischemic stroke

Alberto Bouzas‐Mosquera, F. J. Broullon, Eduardo Méndez et al. · Canadian Medical Association Journal · 2011 · 170 citations · Full text

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