Framework for Testing Robustness of Machine Learning-Based Classifiers

There has been a rapid increase in the number of artificial intelligence (AI)/machine learning (ML)-based biomarker diagnostic classifiers in recent years. However, relatively little work has focused on assessing the robustness of these biomarkers, i.e., investigating the uncertainty of the AI/ML mo...

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Detalles Bibliográficos
Autores principales: Chuah, Joshua, Kruger, Uwe, Wang, Ge, Yan, Pingkun, Hahn, Juergen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409965/
https://www.ncbi.nlm.nih.gov/pubmed/36013263
http://dx.doi.org/10.3390/jpm12081314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9409965/
https://www.ncbi.nlm.nih.gov/pubmed/36013263
http://dx.doi.org/10.3390/jpm12081314

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