Rafael Cobas Paz

Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets

Fabrizio D’Ascenzo, Ovidio De Filippo, Guglielmo Gallone et al. · The Lancet · 2021 · 334 citations · Full text

Computing, Cardiology, Data Science +17

Phenotypic clustering of dilated cardiomyopathy patients highlights important pathophysiological differences

Job A.J. Verdonschot, Marco Merlo, Fernándo Domínguez et al. · European Heart Journal · 2020 · 122 citations · Full text

Medicine, Cardiology, Genetics +14

Development and external validation of a post-discharge bleeding risk score in patients with acute coronary syndrome: The BleeMACS score

Sergio Raposeiras‐Roubín, Jonas Faxén, Andrés Íñiguez et al. · International Journal of Cardiology · 2018 · 90 citations

Medicine, Cardiology, Internal Medicine +16

P2Y12 inhibitors in acute coronary syndrome patients with renal dysfunction: an analysis from the RENAMI and BleeMACS projects

Ovidio De Filippo, Fabrizio D’Ascenzo, Sergio Raposeiras‐Roubín et al. · European Heart Journal - Cardiovascular Pharmacotherapy · 2019 · 53 citations · Full text

Medicine, Cardiology, Pharmacology +17

Contemporary Management of Severe Symptomatic Aortic Stenosis

M Eugène, Piotr Duchnowski, Bernard Prendergast et al. · Journal of the American College of Cardiology · 2021 · 53 citations · Full text

Medicine, Cardiology, Surgery +14