Systematic auditing is essential to debiasing machine learning in biology

Biases in data used to train machine learning (ML) models can inflate their prediction performance and confound our understanding of how and what they learn. Although biases are common in biological data, systematic auditing of ML models to identify and eliminate these biases is not a common practic...

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Detalles Bibliográficos
Autores principales: Eid, Fatma-Elzahraa, Elmarakeby, Haitham A., Chan, Yujia Alina, Fornelos, Nadine, ElHefnawi, Mahmoud, Van Allen, Eliezer M., Heath, Lenwood S., Lage, Kasper
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/PMC7876113/
https://www.ncbi.nlm.nih.gov/pubmed/33568741
http://dx.doi.org/10.1038/s42003-021-01674-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7876113/
https://www.ncbi.nlm.nih.gov/pubmed/33568741
http://dx.doi.org/10.1038/s42003-021-01674-5

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