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...

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Detalles Bibliográficos
Autores principales: Meng, Chuizheng, Trinh, Loc, Xu, Nan, Enouen, James, Liu, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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