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...

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Detalles Bibliográficos
Autores principales: Mwaniki, Paul, Kamanu, Timothy, Akech, Samuel, Dunsmuir, Dustin, Ansermino, J. Mark, Eijkemans, M.J.C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Research Article
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

Internet

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

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