A teacher-student LMM framework with knowledge transfer and short-term memory is proposed for eGFR forecasting, but its own experiments show it fails to improve validation MAPE and remains behind proprietary models on MAE.
Non-compliance could lead to a faster decline in kidney function
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Towards Interpretable Renal Health Decline Forecasting via Multi-LMM Collaborative Reasoning Framework
A teacher-student LMM framework with knowledge transfer and short-term memory is proposed for eGFR forecasting, but its own experiments show it fails to improve validation MAPE and remains behind proprietary models on MAE.