In-hospital mortality prediction on MIMIC-III (test)
0.891AUCSTraTS
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| STraTS% labeled data=50%, number of runs=10, self-supervision=uses additional unlabeled data2021.07 | 0.891 | 0.577 | — | — | 0.541 | — | |
| GRU% labeled data=50%, number of runs=102021.07 | 0.886 | 0.559 | — | — | 0.533 | — | |
| GRU-D% labeled data=50%, number of runs=102021.07 | 0.883 | 0.544 | — | — | 0.527 | — | |
| InterpNet% labeled data=50%, number of runs=102021.07 | 0.881 | 0.54 | — | — | 0.516 | — | |
| SeFT% labeled data=50%, number of runs=102021.07 | 0.881 | 0.547 | — | — | 0.524 | — | |
| TCN% labeled data=50%, number of runs=102021.07 | 0.879 | 0.54 | — | — | 0.525 | — | |
| GRU-Dclassification_threshold=0.5, sampling=undersampled during hyperparameter tuning2019.07 | 0.876 | 0.532 | 0.917 | 0.448 | — | — | |
| SAnD% labeled data=50%, number of runs=102021.07 | 0.876 | 0.533 | — | — | 0.515 | — | |
| Random Forestmodel_abbreviation=RF, classification_threshold=0.52019.07 | 0.867 | 0.531 | 0.907 | 0.196 | — | — | |
| TRIAGE SFT+RLTraining=Supervised Fine-Tuning + Reinforcement Learning2026.06 | 0.867 | 0.541 | — | — | — | — | |
| TRIAGE SFTTraining=Supervised Fine-Tuning2026.06 | 0.864 | 0.514 | — | — | — | — | |
| Interpolation Network + LSTMprediction_network=LSTM2019.09 | 0.861 | 0.537 | — | — | — | — | |
| Multitask LSTM2019.09 | 0.8607 | 0.4933 | — | — | — | — | |
| Centralized (Baseline)Privacy Guarantee=None, Backbone=LSTM2025.12 | 0.86 | — | — | — | — | — | |
| Logistic Regressionmodel_abbreviation=LR, classification_threshold=0.52019.07 | 0.856 | 0.491 | 0.911 | 0.421 | — | — | |
| LSTMsupervision=Deep Supervision2019.09 | 0.8558 | 0.4928 | — | — | — | — | |
| Vanilla FL (FedAvg)Privacy Guarantee=Low, Backbone=LSTM2025.12 | 0.855 | — | — | — | — | — | |
| LSTM2019.09 | 0.8547 | 0.4848 | — | — | — | — | |
| zkFL-HealthPrivacy Guarantee=High, Backbone=LSTM2025.12 | 0.852 | — | — | — | — | — | |
| GRU-DProtocol=ISMTS Baseline2026.06 | 0.851 | 0.487 | — | — | — | — | |
| STraTSProtocol=ISMTS Baseline2026.06 | 0.851 | 0.478 | — | — | — | — | |
| Logistic Regression2019.09 | 0.8485 | 0.4744 | — | — | — | — | |
| KEDGNProtocol=ISMTS Baseline2026.06 | 0.847 | 0.485 | — | — | — | — | |
| Hi-PatchProtocol=ISMTS Baseline2026.06 | 0.846 | 0.462 | — | — | — | — | |
| SeFTProtocol=ISMTS Baseline2026.06 | 0.841 | 0.454 | — | — | — | — | |
| mTANDProtocol=ISMTS Baseline2026.06 | 0.84 | 0.464 | — | — | — | — | |
| ViTSTProtocol=ISMTS Baseline2026.06 | 0.822 | 0.395 | — | — | — | — | |
| FL + Diff. PrivacyPrivacy Guarantee=High, Backbone=LSTM, epsilon=22025.12 | 0.81 | — | — | — | — | — | |
| RaindropProtocol=ISMTS Baseline2026.06 | 0.81 | 0.372 | — | — | — | — | |
| DPFactRank=50, Differential Privacy=w/o DP2019.08 | 0.779 | — | — | — | — | — | |
| DPFactRank=20, Differential Privacy=w/o DP2019.08 | 0.7763 | — | — | — | — | — | |
| DPFactRank=60, Differential Privacy=w/o DP2019.08 | 0.7763 | — | — | — | — | — | |
| DPFactRank=502019.08 | 0.7759 | — | — | — | — | — | |
| DPFactRank=602019.08 | 0.7758 | — | — | — | — | — | |
| DPFactRank=40, Differential Privacy=w/o DP2019.08 | 0.7756 | — | — | — | — | — | |
| DPFactRank=202019.08 | 0.7751 | — | — | — | — | — | |
| DPFactRank=402019.08 | 0.7737 | — | — | — | — | — | |
| DPFactRank=30, Differential Privacy=w/o DP2019.08 | 0.7705 | — | — | — | — | — | |
| DPFactRank=302019.08 | 0.7679 | — | — | — | — | — | |
| gpt-oss-120bProtocol=Zero-shot2026.06 | 0.767 | 0.314 | — | — | — | — | |
| CP-ALSRank=602019.08 | 0.7648 | — | — | — | — | — | |
| TRIPRank=302019.08 | 0.7644 | — | — | — | — | — | |
| CP-ALSRank=502019.08 | 0.7643 | — | — | — | — | — | |
| TRIPRank=502019.08 | 0.7633 | — | — | — | — | — | |
| CP-ALSRank=402019.08 | 0.7603 | — | — | — | — | — | |
| TRIPRank=202019.08 | 0.7596 | — | — | — | — | — | |
| TRIPRank=602019.08 | 0.7588 | — | — | — | — | — | |
| TRIPRank=402019.08 | 0.7574 | — | — | — | — | — | |
| CP-ALSRank=202019.08 | 0.7573 | — | — | — | — | — | |
| CP-ALSRank=102019.08 | 0.7516 | — | — | — | — | — | |
| CP-ALSRank=302019.08 | 0.7488 | — | — | — | — | — | |
| OC-DistillLabels=100%, Observation horizon=96-hour2026.04 | 0.742 | 0.35 | — | — | — | — | |
| DPFactRank=10, Differential Privacy=w/o DP2019.08 | 0.7401 | — | — | — | — | — | |
| Synthetic Notes AugmentationLabels=100%, Observation horizon=96-hour2026.04 | 0.736 | 0.335 | — | — | — | — | |
| DPFactRank=102019.08 | 0.7319 | — | — | — | — | — | |
| DPFactRank=60, regularization=w/o l2,12019.08 | 0.7312 | — | — | — | — | — | |
| OC-DistillLabels=50%, Observation horizon=96-hour2026.04 | 0.731 | 0.358 | — | — | — | — | |
| DPFactRank=50, regularization=w/o l2,12019.08 | 0.7212 | — | — | — | — | — | |
| DPFactRank=40, regularization=w/o l2,12019.08 | 0.7137 | — | — | — | — | — | |
| TRIPRank=102019.08 | 0.713 | — | — | — | — | — | |
| CKLELabels=100%, Observation horizon=96-hour2026.04 | 0.701 | 0.307 | — | — | — | — | |
| DPFactRank=30, regularization=w/o l2,12019.08 | 0.6977 | — | — | — | — | — | |
| TransformerLabels=100%, Observation horizon=96-hour2026.04 | 0.693 | 0.309 | — | — | — | — | |
| DPFactRank=20, regularization=w/o l2,12019.08 | 0.6886 | — | — | — | — | — | |
| Synthetic Notes AugmentationLabels=50%, Observation horizon=96-hour2026.04 | 0.675 | 0.271 | — | — | — | — | |
| CKLELabels=50%, Observation horizon=96-hour2026.04 | 0.663 | 0.279 | — | — | — | — | |
| TransformerLabels=50%, Observation horizon=96-hour2026.04 | 0.651 | 0.251 | — | — | — | — | |
| Cross-Modal ContrastiveLabels=100%, Observation horizon=96-hour2026.04 | 0.573 | 0.186 | — | — | — | — | |
| Cross-Modal ContrastiveLabels=50%, Observation horizon=96-hour2026.04 | 0.533 | 0.175 | — | — | — | — | |
| DPFactRank=10, regularization=w/o l2,12019.08 | 0.5189 | — | — | — | — | — | |
| HEALNetFusion Type=HEALNet2023.11 | — | — | — | — | — | 0.748 | |
| MCATFusion Type=Intermediate2023.11 | — | — | — | — | — | 0.5 | |
| MultiModNFusion Type=Sequential2023.11 | — | — | — | — | — | 0.5 | |
| PerceiverFusion Type=Early2023.11 | — | — | — | — | — | 0.723 | |
| UniModalModality=Tabular2023.11 | — | — | — | — | — | 0.658 | |
| UniModalModality=Time Series2023.11 | — | — | — | — | — | 0.715 |