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cs.LG2026
MedM2T: A MultiModal Framework for Time-Aware Modeling with Electronic Health Record and Electrocardiogram Data
Yu-Chen Kuo, Yi-Ju Tseng
The inherent multimodality and heterogeneous temporal structures of medical data pose significant challenges for modeling. We propose MedM2T, a time-aware multimodal framework desi…
cs.LG2025★ 1 cited
KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
Kun-Wei Lin, Yu-Chen Kuo, Hsin-Yao Wang +1
Clinical risk prediction using electronic health records (EHRs) is vital to facilitate timely interventions and clinical decision support. However, modeling heterogeneous and irreg…