SOTAVerified

Length-of-Stay prediction

Papers

Showing 1–10 of 28 papers

TitleStatusHype
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care UnitCode1
X-CAL: Explicit Calibration for Survival AnalysisCode1
Multitask learning and benchmarking with clinical time series dataCode1
Predicting Patient Outcomes with Graph Representation LearningCode1
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level PredictionsCode1
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge IntegrationCode1
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive CareCode1
Interpretable machine learning for time-to-event prediction in medicine and healthcareCode1
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional NetworksCode1
Client Recruitment for Federated Learning in ICU Length of Stay PredictionCode0
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Benchmark Results

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