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Seoni et al., 2024 - Google Patents

Application of spatial uncertainty predictor in CNN-BiLSTM model using coronary artery disease ECG signals

Seoni et al., 2024

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Document ID
1881559794773822215
Author
Seoni S
Molinari F
Acharya U
Lih O
Barua P
García S
Salvi M
Publication year
Publication venue
Information Sciences

External Links

Snippet

This study aims to address the need for reliable diagnosis of coronary artery disease (CAD) using artificial intelligence (AI) models. Despite the progress made in mitigating opacity with explainable AI (XAI) and uncertainty quantification (UQ), understanding the real-world …
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Classifications

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    • A61B5/0402—Electrocardiography, i.e. ECG
    • A61B5/0452—Detecting specific parameters of the electrocardiograph cycle
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