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Length of Stay Prediction (LOS) on MIMIC-IV (test)

81.88ROC AUCMERGE
66.0270.137574.25578.3725Sep 30, 2025Nov 3, 2025Dec 8, 2025Jan 11, 2026Feb 15, 2026Mar 21, 2026Apr 25, 2026

Evaluation results

MethodLinks
MERGE2025.0981.88—74.43———
FuseMoE2025.0981.74—75.18———
ReToP_LlamaBackbone=Llama3-8B2026.0180.6269.05————
ModernBERTMethod Category=Serialized Classifiers2026.0180.468.42————
ReToP_QwenBackbone=Qwen2.5-7B2026.0180.3868.91————
REMedMethod Category=EHR-oriented models2026.0180.1568.06————
I2MoE2025.0979.88—74.36———
pi_mrmr_dMethod Category=Rewrite-then-Predict models2026.0179.4868.53————
self-genMethod Category=Rewrite-then-Predict models2026.0179.0267.04————
CondIps (sample missing rate)=0.2, pw (within-sample missing rate)=0.22026.0478.32—68.75———
CondIps (sample missing rate)=0.8, pw (within-sample missing rate)=0.22026.0478.32—64.14———
PEPSYps (sample missing rate)=0.2, pw (within-sample missing rate)=0.22026.0478.16—66.33———
CondIps (sample missing rate)=0.2, pw (within-sample missing rate)=0.82026.0477.68—71.35———
CondIps (sample missing rate)=0.8, pw (within-sample missing rate)=0.82026.0477.68—71.35———
BioMedBERTMethod Category=Serialized Classifiers2026.0177.5964.42————
pi_v_oMethod Category=Rewrite-then-Predict models2026.0177.5163.41————
MISTS2025.0977.49—73.86———
mTAND2025.0977.34—73.45———
pi_rfe_dMethod Category=Rewrite-then-Predict models2026.0176.8463.22————
MulT2025.0976.68—72.52———
pi_gu_edMethod Category=Rewrite-then-Predict models2026.0176.1360.57————
FedMMps (sample missing rate)=0.2, pw (within-sample missing rate)=0.22026.0476.08—69.91———
Transformer2025.0975.46—72.31———
LlemrMethod Category=EHR-oriented models2026.0175.3662.21————
LlamaMethod Category=Serialized Classifiers2026.0175.0962.42————
PEPSYps (sample missing rate)=0.8, pw (within-sample missing rate)=0.22026.0474.48—60.84———
FedMMps (sample missing rate)=0.2, pw (within-sample missing rate)=0.82026.0474.45—68.41———
FedAvgps (sample missing rate)=0.2, pw (within-sample missing rate)=0.22026.0474.23—66.82———
FedAvgps (sample missing rate)=0.2, pw (within-sample missing rate)=0.82026.0473.9—66.47———
PEPSYps (sample missing rate)=0.2, pw (within-sample missing rate)=0.82026.0473.86—67.3———
PEPSYps (sample missing rate)=0.8, pw (within-sample missing rate)=0.82026.0473.86—67.3———
QwenMethod Category=Serialized Classifiers2026.0173.7860.75————
FedMMps (sample missing rate)=0.8, pw (within-sample missing rate)=0.22026.0473.51—67.02———
pi_f_sMethod Category=Rewrite-then-Predict models2026.0173.3359.29————
RNNMethod Category=EHR-oriented models2026.0173.0258.01————
RETAINMethod Category=EHR-oriented models2026.0172.9158.21————
FedMMps (sample missing rate)=0.8, pw (within-sample missing rate)=0.82026.0471.9—34.5———
FedAvgps (sample missing rate)=0.8, pw (within-sample missing rate)=0.22026.0471.81—65.58———
FedAvgps (sample missing rate)=0.8, pw (within-sample missing rate)=0.82026.0471.77—65.71———
GRASPMethod Category=EHR-oriented models2026.0170.4853.85————
pi_h_kMethod Category=Rewrite-then-Predict models2026.0170.0454.74————
pi_b_vMethod Category=Rewrite-then-Predict models2026.0166.6350.79————
CTGANModel=GRU, Observation window=48h, View=CTGAN synthetic2026.03———6337—
Gaussian noiseModel=GRU, Observation window=48h, View=Gaussian noise (simple noise baseline)2026.03———6540100
RawModel=GRU, Observation window=48h, View=Raw (upper bound without privacy)2026.03———704440
T1+T2Model=GRU, Observation window=48h, Privacy strength (α)=0.5, View=T1+T2@α = 0.52026.03———694439