SOTAVerified

Mortality Prediction

Papers

Showing 5175 of 189 papers

TitleStatusHype
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing ModalitiesCode0
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective studyCode0
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation LearningCode0
Improving COVID-19 Forecasting using eXogenous VariablesCode0
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive CareCode0
Dynamic Measurement Scheduling for Event Forecasting using Deep RLCode0
Dynamic Multimodal Information Bottleneck for Multimodality ClassificationCode0
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality EstimationCode0
Enriching Unsupervised User Embedding via Medical ConceptsCode0
Early hospital mortality prediction using vital signalsCode0
Characterizing the Value of Information in Medical NotesCode0
Early prediction of the risk of ICU mortality with Deep Federated LearningCode0
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning TasksCode0
FedScore: A privacy-preserving framework for federated scoring system developmentCode0
A Study into patient similarity through representation learning from medical recordsCode0
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-SeriesCode0
Fast and Interpretable Mortality Risk Scores for Critical Care PatientsCode0
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionCode0
Feature importance to explain multimodal prediction models. A clinical use caseCode0
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality PredictionCode0
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
Interpretable Patient Mortality Prediction with Multi-value Rule SetsCode0
What is Fair? Defining Fairness in Machine Learning for HealthCode0
Using Clinical Drug Representations for Improving Mortality and Length of Stay PredictionsCode0
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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