Toshiharu Fujii

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

Prevalence and outcome of patients with cancer and acute coronary syndrome undergoing percutaneous coronary intervention: a BleeMACS substudy

Mario Iannaccone, Fabrizio D’Ascenzo, Paolo Vadalà et al. · European Heart Journal Acute Cardiovascular Care · 2017 · 118 citations · Full text

Medicine, Cardiology, Oncology +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

Identification of High-Risk Brugada Syndrome Patients by Combined Analysis of Late Potential and T-Wave Amplitude Variability on Ambulatory Electrocardiograms

Koichiro Yoshioka, Mari Amino, Wojciech Zaręba et al. · Circulation Journal · 2012 · 58 citations · Full text

Medicine, Cardiology, Circadian Rhythms +14

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