Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling
<jats:p>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, <jats:bold>P</jats:bold>atient <jats:bold>C</jats:bold>ontras...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022
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| Online Access: | https://hdl.handle.net/1721.1/143901 |