Breaking away from labels: The promise of self-supervised machine learning in intelligent health

Medicine is undergoing an unprecedented digital transformation, as massive amounts of health data are being produced, gathered, and curated, ranging from in-hospital (e.g., intensive care unit [ICU]) to person-generated data (wearables). Annotating all these data for training purposes in order to fe...

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Detalles Bibliográficos
Autores principales: Spathis, Dimitris, Perez-Pozuelo, Ignacio, Marques-Fernandez, Laia, Mascolo, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848012/
https://www.ncbi.nlm.nih.gov/pubmed/35199063
http://dx.doi.org/10.1016/j.patter.2021.100410

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8848012/
https://www.ncbi.nlm.nih.gov/pubmed/35199063
http://dx.doi.org/10.1016/j.patter.2021.100410

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