5 citations · 5 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2020
Imputation of Missing Data with Class Imbalance using Conditional Generative Adversarial Networks
Saqib Ejaz Awan, Mohammed Bennamoun, Ferdous Sohel +2
Missing data is a common problem faced with real-world datasets. Imputation is a widely used technique to estimate the missing data. State-of-the-art imputation approaches, such as…