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.
The global burden of chronic kidney disease: estimates, variability and pitfalls,
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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.