Patricia Marroquin

Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms

Gregory Y.H. Lip, Ash Genaidy, George Tran et al. · Thrombosis and Haemostasis · 2021 · 104 citations

Computing, Biostatistics, Health Informatics +17

Improving dynamic stroke risk prediction in non-anticoagulated patients with and without atrial fibrillation: comparing common clinical risk scores and machine learning algorithms

Gregory Y.H. Lip, George Tran, Ash Genaidy et al. · European Heart Journal - Quality of Care and Clinical Outcomes · 2021 · 58 citations · Full text

Computing, Cardiology, Machine Learning +16

Incident atrial fibrillation and its risk prediction in patients developing COVID-19: A machine learning based algorithm approach

Gregory Y.H. Lip, Ash Genaidy, George Tran et al. · European Journal of Internal Medicine · 2021 · 33 citations · Full text

Medicine, Cardiology, Geriatric Medicine +17

Revisiting the dynamic risk profile of cardiovascular/non‐cardiovascular multimorbidity in incident atrial fibrillation patients and five cardiovascular/non‐cardiovascular outcomes: A machine‐learning approach

Gregory Y.H. Lip, George Tran, Ash Genaidy et al. · Journal of Arrhythmia · 2021 · 26 citations · Full text

Medicine, Cardiology, Clinical Epidemiology +16

Prevalence/incidence of atrial fibrillation based on integrated medical/pharmacy claims, and association with co‐morbidity profiles/multi‐morbidity in a large US adult cohort

Gregory Y.H. Lip, George Tran, Ash Genaidy et al. · International Journal of Clinical Practice · 2021 · 11 citations

Medicine, Cardiology, Clinical Epidemiology +16