Duc Le

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Role not yet determined Is this you? Add your title

University of Arkansas

1 h-index 1 pubs 38 cited

Research Areas

Biomedical Subjects

Links

ORCID Research Group

OverviewAI-generated summary

Duc Le's research focuses on applying machine learning techniques to medical data, specifically in the area of cardiac arrhythmia classification using electrocardiography (ECG). His recent publication, "sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification," explores a novel approach to improving the accuracy of identifying different types of cardiac arrhythmias. This work utilizes supervised contrastive learning and semantic transformations, demonstrating an interest in developing advanced computational methods for medical diagnostics. Le's work is supported by collaborations with other researchers, including Ngan Le from the University of Arkansas at Fayetteville, with whom he has co-authored publications. His scholarly output, though currently limited in volume, indicates a recent activity and a focused research direction in medical informatics and artificial intelligence applications in healthcare.

Metrics

h-index: 1
Publications: 1
Citations: 38

Selected Publications

sCL-ST: Supervised Contrastive Learning With Semantic Transformations for Multiple Lead ECG Arrhythmia Classification (2023)

IEEE Journal of Biomedical and Health Informatics 36 citations DOI OpenAlex

View all publications on OpenAlex →