most citedPerformance of multilabel machine learning models and risk stratification schemas for predicting stroke and bleeding risk in patients with non-valvular atrial fibrillation

5 citations · 5 across the 1 of their papers we have counts for

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1 paper

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…