Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework
Peng-Yi Wu, Pei-Cing Huang, Ting-Yu Chen +3
Accurate and interpretable prediction of estimated glomerular filtration rate (eGFR) is essential for managing chronic kidney disease (CKD) and supporting clinical decisions. Recen…
cs.LG2024
Understanding eGFR Trajectories and Kidney Function Decline via Large Multimodal Models
Chih-Yuan Li, Jun-Ting Wu, Chan Hsu +2
The estimated Glomerular Filtration Rate (eGFR) is an essential indicator of kidney function in clinical practice. Although traditional equations and Machine Learning (ML) models u…