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2025 MLHC MLHC 2025

ProtoECGNet: Case-Based Interpretable Deep Learning for Multi-Label ECG Classification with Contrastive Learning

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Healthcare & Medicine

Authors

Sahil Sethi, David Chen, Thomas Statchen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett Beaulieu-Jones

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Core Methods > Classification Healthcare & Medicine > Clinical > Cardiology

Keywords

multi-label learning contrastive loss global prototype ecg classification prototype-based reasoning time-localized prototypes
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