SOTAVerified

Mortality Prediction

Papers

Showing 151175 of 189 papers

TitleStatusHype
Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approachCode0
Feature importance to explain multimodal prediction models. A clinical use caseCode0
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning TasksCode0
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionCode0
FedScore: A privacy-preserving framework for federated scoring system developmentCode0
MIMIC-III, a freely accessible critical care databaseCode0
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality PredictionCode0
Dynamic Measurement Scheduling for Event Forecasting using Deep RLCode0
MixEHR-SurG: a joint proportional hazard and guided topic model for inferring mortality-associated topics from electronic health recordsCode0
A Study into patient similarity through representation learning from medical recordsCode0
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference LearningCode0
Developing and validating multi-modal models for mortality prediction in COVID-19 patients: a multi-center retrospective studyCode0
Analysis | OPEN | Published: 17 June 2019 Multitask learning and benchmarking with clinical time series dataCode0
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health RecordsCode0
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up datasetCode0
IMAN: An Adaptive Network for Robust NPC Mortality Prediction with Missing ModalitiesCode0
Improving COVID-19 Forecasting using eXogenous VariablesCode0
MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learningCode0
MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey beesCode0
Individualized Prediction of COVID-19 Adverse outcomes with MLHOCode0
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation LearningCode0
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosisCode0
Characterizing the Value of Information in Medical NotesCode0
Interpolation-Prediction Networks for Irregularly Sampled Time SeriesCode0
Privacy-preserving patient clustering for personalized federated learningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestF1 score0.97Unverified
2Gaussian SVMF1 score0.96Unverified
3Decision TreeF1 score0.91Unverified
4Boosted TreesF1 score0.87Unverified
5ELECTRA (pretrained)Accuracy0.84Unverified
6ELECTRA (from scratch)Accuracy0.83Unverified
7LSTM+SA (pretrained)Accuracy0.83Unverified
8LSTM (pretrained)Accuracy0.83Unverified
9K-NNF1 score0.82Unverified
10LSTM+SA (from scratch)Accuracy0.8Unverified