SOTAVerified

Mortality Prediction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 189 papers

TitleStatusHype
Artificial neural networks condensation: A strategy to facilitate adaption of machine learning in medical settings by reducing computational burden—0
Assessing mortality prediction through different representation models based on concepts extracted from clinical notes—0
Assessing Validity of ICD-10 Administrative Data in Coding Comorbidities—0
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment—0
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography—0
EventScore: An Automated Real-time Early Warning Score for Clinical Events—0
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records—0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series—0
Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset—0
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients—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
ICU Mortality Prediction Using Long Short-Term Memory Networks—0
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning—0
Inadequacy of common stochastic neural networks for reliable clinical decision support—0
Infant Mortality Prediction using Birth Certificate Data—0
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
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
Medical records condensation: a roadmap towards healthcare data democratisation—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
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
Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts—0
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset—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
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning—0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases—0
Optimizing Mortality Prediction for ICU Heart Failure Patients: Leveraging XGBoost and Advanced Machine Learning with the MIMIC-III Database—0
Paging Dr. GPT: Extracting Information from Clinical Notes to Enhance Patient Predictions—0
Parkland Trauma Index of Mortality (PTIM): Real-time Predictive Model for PolyTrauma Patients—0
Echoes of Biases: How Stigmatizing Language Affects AI Performance—0
PPMF: A Patient-based Predictive Modeling Framework for Early ICU Mortality Prediction—0
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation—0
Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study—0
Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learning—0
Deep Neural Decision Forest: A Novel Approach for Predicting Recovery or Decease of Patients—0
On Preserving the Knowledge of Long Clinical Texts—0
Privacy-Preserving Dataset Combination—0
Process Mining Model to Predict Mortality in Paralytic Ileus Patients—0
Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data—0
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards—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