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Using self-supervised feature learning to improve the use of pulse oximeter signals to predict paediatric hospitalization
Background: The success of many machine learning applications depends on knowledge about the relationship between the input data and the task of interest (output), hindering the application of machine learning to novel tasks. End-to-end deep learning, which does not require intermediate feature engi...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
F1000 Research Limited
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280037/ https://www.ncbi.nlm.nih.gov/pubmed/37346816 http://dx.doi.org/10.12688/wellcomeopenres.17148.2 |