Article

EvolveFNN: An interpretable framework for early detection using longitudinal electronic health record data

2023-08-31

Abstract excerpt

<title>Abstract</title> <p>The extensive adoption of artificial intelligence in clinical decision support systems necessitates a significant presence of ML models that clinicians can easily interpret. Therefore, we developed an RNN-based interpretable method, combining the fuzzy concepts and recurrent units, to train accurate and explainable models on high-dimensional longitudinal electronic health records data....

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5c835308-d8ee-592f-9a05-9e2e4ee3537d
DOI: 10.21203/rs.3.rs-3314609/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

EvolveFNN: An interpretable framework for early detection using longitudinal electronic health record dataDOI 10.21203/rs.3.rs-3314609/v1Read

Developing Deep Learning Continuous Risk Models for Early Adverse Event Prediction in Electronic Health Records: an AKI Case StudySemantic proximity Read

Ensemble Post-hoc Explainable AI for Multilead ECG: Identifying Disease-Relevant Features in Single-Lead InterpretationsSemantic proximity Read

Synthetic Data for Accessible Learning in Healthcare: Improving Mortality Prediction with Longitudinal DataSemantic proximity Read

EHR-ML: A generalisable pipeline for reproducible clinical outcomes using electronic health recordsSemantic proximity Read

A Natural Language Processing-Based Approach for Early Detection of Heart Failure Onset using Electronic Health RecordsSemantic proximity Read

Development and validation of a dynamic prediction model for unplanned ICU admission and mortality in hospitalized patientsSemantic proximity Read

Application of Foundation Models in Emergency and Critical Care: A Scoping ReviewSemantic proximity Read

Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical CareSemantic proximity Read

Predicting Near-term Mortality in Heart Failure: External Validation of Electronic Health Record-Based Deep Learning ModelSemantic proximity Read

EHR Foundation Models Improve Robustness in the Presence of Temporal Distribution ShiftSemantic proximity Read

Predictive Diagnosis of Cardiovascular Disease Using an Optimized RNN- GRU Hybrid ModelSemantic proximity Read

Deep Representation Learning for Risk Prediction in Electronic Health Records Using Self-Supervised MethodsSemantic proximity Read