SOTAVerified

Mortality Prediction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 189 papers

TitleStatusHype
MULTIPAR: Supervised Irregular Tensor Factorization with Multi-task Learning—0
Assessing mortality prediction through different representation models based on concepts extracted from clinical notes—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
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality PredictionCode0
Enriching Unsupervised User Embedding via Medical ConceptsCode0
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment—0
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients—0
Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards—0
Using Clinical Drug Representations for Improving Mortality and Length of Stay PredictionsCode0
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health RecordsCode0
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction—0
Optimal Ensemble Construction for Multi-Study Prediction with Applications to COVID-19 Excess Mortality EstimationCode0
Early ICU Mortality Prediction and Survival Analysis for Respiratory Failure—0
Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients—0
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective studyCode0
Hybrid deep learning methods for phenotype prediction from clinical notes—0
Process Mining Model to Predict Mortality in Paralytic Ileus Patients—0
Improving COVID-19 Forecasting using eXogenous VariablesCode0
Quantifying Explainability in NLP and Analyzing Algorithms for Performance-Explainability TradeoffCode0
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks—0
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation—0
Explaining a Series of Models by Propagating Shapley Values—0
A Study into patient similarity through representation learning from medical recordsCode0
BERTSurv: BERT-Based Survival Models for Predicting Outcomes of Trauma Patients—0
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset—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