4 Result(s)
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Gabriela M. M. Paixão
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Article
Open AccessDeep neural network-estimated electrocardiographic age as a mortality predictor
The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular diseases. Here we propose that the age predicted by artificial intelligence (AI) from the raw ECG (ECG-age) can b...
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Chapter and Conference Paper
Explaining End-to-End ECG Automated Diagnosis Using Contextual Features
We propose a new method to generate explanations for end-to-end classification models. The explanations consist of meaningful features to the user, namely contextual features. We instantiate our approach in th...
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Article
Open AccessAuthor Correction: Automatic diagnosis of the 12-lead ECG using a deep neural network
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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Article
Open AccessAutomatic diagnosis of the 12-lead ECG using a deep neural network
The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the accuracy of existing models. Deep Neural Networks (DNNs) are models composed of stacked transformations that learn ...
