Artificial intelligence-enhanced electrocardiogram analysis for identifying cardiac autonomic neuropathy in patients with diabetes
Krzysztof Irlik,
Hanadi Aldosari,
Mirela Hendel
et al.
Abstract:Background
Cardiac autonomic neuropathy (CAN) is an important yet often overlooked complication of diabetes, which significantly increases the risk of cardiovascular (CV) events and mortality. Traditional diagnostic methods like CV autonomic function tests (CARTs) are laborious and rarely evaluated in clinical practice. This study aimed to develop and employ machine learning (ML) algorithms to analyze electrocardiogram (ECG) for the diagnosis of CAN.
Methods
We utilized motif and discord extraction techniques … Show more
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