SOTAVerified

Mortality Prediction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 189 papers

TitleStatusHype
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