Application of Convolutional Neural Networks Using Action Potential Shape for In-Silico Proarrhythmic Risk Assessment

This study proposes a convolutional neural network (CNN) model using action potential (AP) shapes as input for proarrhythmic risk assessment, considering the hypothesis that machine-learning features automatically extracted from AP shapes contain more meaningful information than do manually extracte...

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Detalles Bibliográficos
Autores principales: Jeong, Da Un, Yoo, Yedam, Marcellinus, Aroli, Lim, Ki Moo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953470/
https://www.ncbi.nlm.nih.gov/pubmed/36830942
http://dx.doi.org/10.3390/biomedicines11020406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953470/
https://www.ncbi.nlm.nih.gov/pubmed/36830942
http://dx.doi.org/10.3390/biomedicines11020406

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