Deep Bayesian Gaussian processes for uncertainty estimation in electronic health records

One major impediment to the wider use of deep learning for clinical decision making is the difficulty of assigning a level of confidence to model predictions. Currently, deep Bayesian neural networks and sparse Gaussian processes are the main two scalable uncertainty estimation methods. However, dee...

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Detalles Bibliográficos
Autores principales: Li, Yikuan, Rao, Shishir, Hassaine, Abdelaali, Ramakrishnan, Rema, Canoy, Dexter, Salimi-Khorshidi, Gholamreza, Mamouei, Mohammad, Lukasiewicz, Thomas, Rahimi, Kazem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526832/
https://www.ncbi.nlm.nih.gov/pubmed/34667200
http://dx.doi.org/10.1038/s41598-021-00144-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526832/
https://www.ncbi.nlm.nih.gov/pubmed/34667200
http://dx.doi.org/10.1038/s41598-021-00144-6

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