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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |