SOTAVerified

Mortality Prediction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 189 papers

TitleStatusHype
Inference of a Multi-Domain Machine Learning Model to Predict Mortality in Hospital Stays for Patients with Cancer upon Febrile Neutropenia Onset—0
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction—0
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients—0
Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction—0
Interpretable Graph Learning Over Sets of Temporally-Sparse Data—0
Interpretable Machine Learning Model for Early Prediction of Mortality in Elderly Patients with Multiple Organ Dysfunction Syndrome (MODS): a Multicenter Retrospective Study and Cross Validation—0
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality—0
Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records—0
Medical records condensation: a roadmap towards healthcare data democratisation—0
Assessing mortality prediction through different representation models based on concepts extracted from clinical notes—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
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models—0
Joint Application of the Target Trial Causal Framework and Machine Learning Modeling to Optimize Antibiotic Therapy: Use Case on Acute Bacterial Skin and Skin Structure Infections due to Methicillin-resistant Staphylococcus aureus—0
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction—0
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction—0
A Kalman Filter Based Framework for Monitoring the Performance of In-Hospital Mortality Prediction Models Over Time—0
Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients—0
Leveraging Patient Similarity and Time Series Data in Healthcare Predictive Models—0
Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients—0
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data—0
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks—0
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden—0
APRICOT-Mamba: Acuity Prediction in Intensive Care Unit (ICU): Development and Validation of a Stability, Transitions, and Life-Sustaining Therapies Prediction Model—0
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts—0
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data—0
A Novel Multi-Task Teacher-Student Architecture with Self-Supervised Pretraining for 48-Hour Vasoactive-Inotropic Trend Analysis in Sepsis Mortality Prediction—0
An empirical study of using radiology reports and images to improve ICU mortality prediction—0
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset—0
TA-RNN: an Attention-based Time-aware Recurrent Neural Network Architecture for Electronic Health Records—0
Temporal-Clustering Invariance in Irregular Healthcare Time Series—0
Modelling EHR timeseries by restricting feature interaction—0
Mortality Prediction Models with Clinical Notes Using Sparse Attention at the Word and Sentence Levels—0
Mortality Prediction of Pulmonary Embolism Patients with Deep Learning and XGBoost—0
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study—0
Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data—0
Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories—0
Analyzing Impact of Socio-Economic Factors on COVID-19 Mortality Prediction Using SHAP Value—0
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning—0
Building Deep Learning Models to Predict Mortality in ICU Patients—0
Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke—0
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort—0
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes—0
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings—0
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients—0
ChronoFormer: Time-Aware Transformer Architectures for Structured Clinical Event Modeling—0
Clinical Language Understanding Evaluation (CLUE)—0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases—0
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset—0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series—0
Combining LSTM and Latent Topic Modeling for Mortality Prediction—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