Clinically interpretable multiclass neural network for discriminating cardiac diseases

Background: Deep-learning applications in cardiology typically perform trivial binary classification and are able to discriminate between subjects affected or not affected by a specific cardiac disease. However, this working scenario is very different from the real one, where clinicians are required...

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Autori principali:	Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Cees A. Swenne, Laura Burattini
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-01-01
Serie:	Heliyon
Soggetti:	Cardiac rhythm Electrocardiography Vectorcardiography Deep learning Multiclass neural network Repeated structuring & learning procedure
Accesso online:	http://www.sciencedirect.com/science/article/pii/S240584402417226X
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