Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics

Mislabeling of cases as well as controls in case–control studies is a frequent source of strong bias in prognostic and diagnostic tests and algorithms. Common data processing methods available to the researchers in the biomedical community do not allow for consistent and robust treatment of labeled...

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Detalles Bibliográficos
Autores principales: Gerber, Susanne, Pospisil, Lukas, Sys, Stanislav, Hewel, Charlotte, Torkamani, Ali, Horenko, Illia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766632/
https://www.ncbi.nlm.nih.gov/pubmed/35072059
http://dx.doi.org/10.3389/frai.2021.739432

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8766632/
https://www.ncbi.nlm.nih.gov/pubmed/35072059
http://dx.doi.org/10.3389/frai.2021.739432

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