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
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
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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