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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

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