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Mortality Prediction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 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
EventScore: An Automated Real-time Early Warning Score for Clinical Events—0
Multi-view Integration Learning for Irregularly-sampled Clinical Time SeriesCode0
Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort—0
Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approachCode0
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records—0
Building Deep Learning Models to Predict Mortality in ICU Patients—0
Explainable Clinical Decision Support from Text—0
Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings—0
Parkland Trauma Index of Mortality (PTIM): Real-time Predictive Model for PolyTrauma Patients—0
Characterizing the Value of Information in Medical NotesCode0
Variational Disentanglement for Rare Event ModelingCode0
Individualized Prediction of COVID-19 Adverse outcomes with MLHOCode0
Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study—0
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases—0
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction—0
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models—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
Gradient Boosting on Decision Trees for Mortality Prediction in Transcatheter Aortic Valve Implantation—0
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation—0
Feature Engineering Combined with 1 D Convolutional Neural Network for Improved Mortality Prediction—0
Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data—0
Towards unstructured mortality prediction with free-text clinical notes—0
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series—0
Modelling EHR timeseries by restricting feature interaction—0
Hierarchical Semantic Correspondence Learning for Post-Discharge Patient Mortality Prediction—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