SOTAVerified

Mortality Prediction

Papers

Showing 126150 of 189 papers

TitleStatusHype
Exploring Temporal Patterns in Emergency Department Triage Notes with Topic Models0
Feature Engineering Combined with 1 D Convolutional Neural Network for Improved Mortality Prediction0
Feature-Enhanced Machine Learning for All-Cause Mortality Prediction in Healthcare Data0
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction0
Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation0
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction0
Hybrid deep learning methods for phenotype prediction from clinical notes0
Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images0
Early prediction of the risk of ICU mortality with Deep Federated LearningCode0
Early hospital mortality prediction using vital signalsCode0
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability TradeoffCode0
Variational Disentanglement for Rare Event ModelingCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Using Clinical Notes with Time Series Data for ICU ManagementCode0
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital DataCode0
Enriching Unsupervised User Embedding via Medical ConceptsCode0
Countdown Regression: Sharp and Calibrated Survival PredictionsCode0
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual ThinkingCode0
Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer CenterCode0
XAI for In-hospital Mortality Prediction via Multimodal ICU DataCode0
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and RegressionCode0
Dynamic Multimodal Information Bottleneck for Multimodality ClassificationCode0
COPER: Continuous Patient State PerceiverCode0
Fast and Interpretable Mortality Risk Scores for Critical Care PatientsCode0
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural NetworksCode0
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Benchmark Results

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