Interpretable heartbeat classification using local model-agnostic explanations on ECGs

Inês Neves; Duarte Folgado; Sara Santos; Marília Barandas; Andrea Campagner; Luca Ronzio; Federico Cabitza; Hugo Gambôa

doi:10.1016/j.compbiomed.2021.104393

ScienceGate Book Chapters

JOURNAL ARTICLE

Interpretable heartbeat classification using local model-agnostic explanations on ECGs

Inês Neves Duarte Folgado Sara Santos Marília Barandas Andrea Campagner Luca Ronzio Federico Cabitza Hugo Gambôa

Year: 2021 Journal: Computers in Biology and Medicine Vol: 133 Pages: 104393-104393 Publisher: Elsevier BV

DOI: 10.1016/j.compbiomed.2021.104393

Get Full-Text PDF Get Analytical Report

Keywords:

Interpretability Heartbeat Computer science Jaccard index Artificial intelligence Dependency (UML) Machine learning Interpretation (philosophy) Data mining Pattern recognition (psychology)

Metrics

Cited By

8.89

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Explainable Artificial Intelligence (XAI)

Physical Sciences → Computer Science → Artificial Intelligence

ECG Monitoring and Analysis

Health Sciences → Medicine → Cardiology and Cardiovascular Medicine

Time Series Analysis and Forecasting

Physical Sciences → Computer Science → Signal Processing

Interpretable heartbeat classification using local model-agnostic explanations on ECGs

Metrics

Citation History

Topics

Related Documents

Generative Local Interpretable Model-Agnostic Explanations

Local Interpretable Model-Agnostic Explanations (LIME)

Local Interpretable Model-agnostic Explanations (LIME)

Ensemble model-based arrhythmia classification with local interpretable model-agnostic explanations

Improving Local Interpretable Model-agnostic Explanations Stability