SOTAVerified

Mortality Prediction

Papers

Showing 11–20 of 189 papers

TitleStatusHype
Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database—0
A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction—0
Large Language Models are Powerful Electronic Health Record EncodersCode0
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts—0
Privacy-Preserving Dataset Combination—0
Chest X-ray Foundation Model with Global and Local Representations IntegrationCode1
Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost—0
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries—0
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference LearningCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestF1 score0.97—Unverified
2Gaussian SVMF1 score0.96—Unverified
3Decision TreeF1 score0.91—Unverified
4Boosted TreesF1 score0.87—Unverified
5ELECTRA (pretrained)Accuracy0.84—Unverified
6ELECTRA (from scratch)Accuracy0.83—Unverified
7LSTM+SA (pretrained)Accuracy0.83—Unverified
8LSTM (pretrained)Accuracy0.83—Unverified
9K-NNF1 score0.82—Unverified
10LSTM+SA (from scratch)Accuracy0.8—Unverified