Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling

Supervised machine learning applications in health care are often limited due to a scarcity of labeled training data. To mitigate the effect of small sample size, we introduce a pre-training approach, Patient Contrastive Learning of Representations (PCLR), which creates latent representations of ele...

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Detalles Bibliográficos
Autores principales: Diamant, Nathaniel, Reinertsen, Erik, Song, Steven, Aguirre, Aaron D., Stultz, Collin M., Batra, Puneet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880931/
https://www.ncbi.nlm.nih.gov/pubmed/35157695
http://dx.doi.org/10.1371/journal.pcbi.1009862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880931/
https://www.ncbi.nlm.nih.gov/pubmed/35157695
http://dx.doi.org/10.1371/journal.pcbi.1009862

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