Multi-class machine learning classification of PFAS in environmental water samples: a blinded test of performance on unknowns
Tohren C. G. Kibbey,
Denis M. O'Carroll,
Andrew Safulko
et al.
Abstract:The ability to identify the origin of detected PFAS in environmental samples is of great interest. This work used a blinded test to explore the ability of a recently-developed multiclass...
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.