SOTAVerified

Length-of-Stay prediction

Papers

Showing 125 of 28 papers

TitleStatusHype
Interpretable machine learning for time-to-event prediction in medicine and healthcareCode1
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive CareCode1
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level PredictionsCode1
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
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional NetworksCode1
Multitask learning and benchmarking with clinical time series dataCode1
Equitable Length of Stay Prediction for Patients with Learning Disabilities and Multiple Long-term Conditions Using Machine Learning0
Multi-Source Conformal Inference Under Distribution ShiftCode0
Evaluating the Fairness of the MIMIC-IV Dataset and a Baseline Algorithm: Application to the ICU Length of Stay PredictionCode0
On Preserving the Knowledge of Long Clinical Texts0
Assessing the impact of emergency department short stay units using length-of-stay prediction and discrete event simulation0
Length of Stay prediction for Hospital Management using Domain Adaptation0
Client Recruitment for Federated Learning in ICU Length of Stay PredictionCode0
Hospitalization Length of Stay Prediction using Patient Event SequencesCode0
Learning from a Biased SampleCode0
A Literature Review on Length of Stay Prediction for Stroke Patients using Machine Learning and Statistical Approaches0
Value-aware transformers for 1.5d data0
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis0
Interpolation-Prediction Networks for Irregularly Sampled Time SeriesCode0
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning TasksCode0
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-IIICode0
Analysis | OPEN | Published: 17 June 2019 Multitask learning and benchmarking with clinical time series dataCode0
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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