SOTAVerified

Length-of-Stay prediction

Papers

Showing 1120 of 28 papers

TitleStatusHype
Learning from a Biased SampleCode0
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level PredictionsCode1
A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches0
Value-aware transformers for 1.5d data0
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge IntegrationCode1
X-CAL: Explicit Calibration for Survival AnalysisCode1
Predicting Patient Outcomes with Graph Representation LearningCode1
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care UnitCode1
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis0
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EHR-Graph Transformer (pre-trained)Accuracy (LOS>3 Days)71.4Unverified
2EHR-Graph TransformerAccuracy (LOS>3 Days)70.3Unverified
3Random Forests (RF)Accuracy (LOS>3 Days)69.5Unverified
4Logistic Regression (LR)Accuracy (LOS>3 Days)68.6Unverified
5GRU-DAccuracy (LOS>3 Days)68.3Unverified