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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |