5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients
Juan Lu, Mohammed Bennamoun, Jonathon Stewart +5
Diagnostic investigation has an important role in risk stratification and clinical decision making of patients with suspected and documented Coronary Artery Disease (CAD). However,…
q-bio.QM2022★ 5 cited
Performance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation
Juan Lu, Rebecca Hutchens, Joseph Hung +9
Appropriate antithrombotic therapy for patients with atrial fibrillation (AF) requires assessment of ischemic stroke and bleeding risks. However, risk stratification schemas such a…