Towards a pragmatist dealing with algorithmic bias in medical machine learning

Machine Learning (ML) is on the rise in medicine, promising improved diagnostic, therapeutic and prognostic clinical tools. While these technological innovations are bound to transform health care, they also bring new ethical concerns to the forefront. One particularly elusive challenge regards disc...

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Detalles Bibliográficos
Autores principales: Starke, Georg, De Clercq, Eva, Elger, Bernice S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Scientific Contribution
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955212/
https://www.ncbi.nlm.nih.gov/pubmed/33713239
http://dx.doi.org/10.1007/s11019-021-10008-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7955212/
https://www.ncbi.nlm.nih.gov/pubmed/33713239
http://dx.doi.org/10.1007/s11019-021-10008-5

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