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
Reinforcing Clinical Decision Support through Multi-Agent Systems and Ethical AI Governance—0
Rethinking clinical prediction: Why machine learning must consider year of care and feature aggregation—0
Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records—0
Self-explaining Neural Network with Concept-based Explanations for ICU Mortality Prediction—0
Severity and Mortality Prediction Models to Triage Indian COVID-19 Patients—0
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data—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
Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data—0
Towards Personalised Patient Risk Prediction Using Temporal Hospital Data Trajectories—0
Towards unstructured mortality prediction with free-text clinical notes—0
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks—0
Uncertainty-aware abstention in medical diagnosis based on medical texts—0
Using Clinical Notes for ICU Management—0
Using Explainable AI to Cross-Validate Socio-economic Disparities Among Covid-19 Patient Mortality—0
Voice-Driven Mortality Prediction in Hospitalized Heart Failure Patients: A Machine Learning Approach Enhanced with Diagnostic Biomarkers—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
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients—0
Advanced Predictive Modeling for Enhanced Mortality Prediction in ICU Stroke Patients Using Clinical Data—0
Enhanced Mortality Prediction In Patients With Subarachnoid Haemorrhage Using A Deep Learning Model Based On The Initial CT Scan—0
Enhancing In-Hospital Mortality Prediction Using Multi-Representational Learning with LLM-Generated Expert Summaries—0
Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets—0
Subpopulation-Specific Synthetic EHR for Better Mortality Prediction—0
Explainable Clinical Decision Support from Text—0
Explaining a Series of Models by Propagating Shapley Values—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