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Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset
The recent release of large-scale healthcare datasets has greatly propelled the research of data-driven deep learning models for healthcare applications. However, due to the nature of such deep black-boxed models, concerns about interpretability, fairness, and biases in healthcare scenarios where hu...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065125/ https://www.ncbi.nlm.nih.gov/pubmed/35504931 http://dx.doi.org/10.1038/s41598-022-11012-2 |