SOTAVerified

Mortality Prediction

( Image credit: Early hospital mortality prediction using vital signals )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 189 papers

TitleStatusHype
Paging Dr. GPT: Extracting Information from Clinical Notes to Enhance Patient Predictions—0
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling—0
Assessing Validity of ICD-10 Administrative Data in Coding Comorbidities—0
Feature-Enhanced Machine Learning for All-Cause Mortality Prediction in Healthcare Data—0
Reinforcing Clinical Decision Support through Multi-Agent Systems and Ethical AI Governance—0
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework—0
Uncertainty-aware abstention in medical diagnosis based on medical texts—0
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
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
Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learning—0
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing ModalitiesCode0
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database—0
Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular DataCode0
MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learningCode0
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionCode0
Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records—0
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual ThinkingCode0
Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data—0
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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