Comparison among random forest, logistic regression, and existing clinical risk scores for predicting outcomes in patients with atrial fibrillation: A report from the J‐RHYTHM registry

Machine Learning and the Future of Cardiovascular Care

(2021) Giorgio Quer et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

Early prediction of circulatory failure in the intensive care unit using machine learning

(2020) Stephanie L. Hyland et al.   NATURE MEDICINE

Machine learning does not improve upon traditional regression in predicting outcomes in atrial fibrillation: an analysis of the ORBIT-AF and GARFIELD-AF registries

(2020) Zak Loring et al.   EUROPACE

Impact of Artificial Intelligence on Interventional Cardiology

(2019) Partha Sardar et al.   JACC-Cardiovascular Interventions

Integrative Omics Approach to Identifying Genes Associated With Atrial Fibrillation

(2019) Biqi Wang et al.   CIRCULATION RESEARCH

OUP accepted manuscript

(2018)   EUROPEAN HEART JOURNAL

Risk stratification for stroke in atrial fibrillation: a critique

(2018) Ammar M Killu et al.   EUROPEAN HEART JOURNAL

Association between clinical risk scores and mortality in atrial fibrillation: Systematic review and network meta-regression of 669,000 patients

(2018) Marco Proietti et al.   European Journal of Preventive Cardiology

Analysis of Machine Learning Techniques for Heart Failure Readmissions

(2016) Bobak J. Mortazavi et al.  

Multicenter Comparison of Machine Learning Methods and Conventional Regression for Predicting Clinical Deterioration on the Wards

(2016) Matthew M. Churpek et al.   CRITICAL CARE MEDICINE

Analysis of Machine Learning Techniques for Heart Failure Readmissions

(2016) Bobak J. Mortazavi et al.   Circulation-Cardiovascular Quality and Outcomes

Guidelines for Pharmacotherapy of Atrial Fibrillation (JCS 2013)

(2014)   CIRCULATION JOURNAL

Target International Normalized Ratio Values for Preventing Thromboembolic and Hemorrhagic Events in Japanese Patients With Non-Valvular Atrial Fibrillation

(2013) Hiroshi Inoue et al.   CIRCULATION JOURNAL

Present Status of Anticoagulation Treatment in Japanese Patients With Atrial Fibrillation

(2011) Hirotsugu Atarashi et al.   CIRCULATION JOURNAL

A New Risk Scheme to Predict Warfarin-Associated Hemorrhage

(2011) Margaret C. Fang et al.   JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY

A Novel User-Friendly Score (HAS-BLED) To Assess 1-Year Risk of Major Bleeding in Patients With Atrial Fibrillation

(2010) Ron Pisters et al.   CHEST

Investigation of optimal anticoagulation strategy for stroke prevention in Japanese patients with atrial fibrillation—The J-RHYTHM Registry study design

(2010) Hirotsugu Atarashi et al.   Journal of Cardiology

Refining Clinical Risk Stratification for Predicting Stroke and Thromboembolism in Atrial Fibrillation Using a Novel Risk Factor-Based Approach

(2009) Gregory Y.H. Lip et al.   CHEST

Detection and Quantification of Left Atrial Structural Remodeling With Delayed-Enhancement Magnetic Resonance Imaging in Patients With Atrial Fibrillation

(2009) Robert S. Oakes et al.   CIRCULATION