SOTAVerified

Mortality Prediction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 189 papers

TitleStatusHype
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset—0
Interpretable Graph Learning Over Sets of Temporally-Sparse Data—0
Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients—0
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
Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database—0
Uncertainty-aware abstention in medical diagnosis based on medical texts—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
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
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent CollaborationCode1
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
Zero Shot Health Trajectory Prediction Using TransformerCode2
Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data—0
Open (Clinical) LLMs are Sensitive to Instruction PhrasingsCode0
Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories—0
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records—0
What is Fair? Defining Fairness in Machine Learning for HealthCode0
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data—0
Feature importance to explain multimodal prediction models. A clinical use caseCode0
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data—0
Voice-Driven Mortality Prediction in Hospitalized Heart Failure Patients: A Machine Learning Approach Enhanced with Diagnostic Biomarkers—0
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes—0
A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time—0
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital DataCode0
TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records—0
Inadequacy of common stochastic neural networks for reliable clinical decision support—0
XAI for In-hospital Mortality Prediction via Multimodal ICU DataCode0
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challengeCode1
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health recordsCode0
Multimodal Pretraining of Medical Time Series and NotesCode1
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond—0
Deep Neural Decision Forest: A Novel Approach for Predicting Recovery or Decease of Patients—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