Crash Injury Severity Prediction Using an Ordinal Classification Machine Learning Approach

In many related works, nominal classification algorithms ignore the order between injury severity levels and make sub-optimal predictions. Existing ordinal classification methods suffer rank inconsistency and rank non-monotonicity. The aim of this paper is to propose an ordinal classification approa...

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Detalles Bibliográficos
Autores principales: Zhu, Shengxue, Wang, Ke, Li, Chongyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583475/
https://www.ncbi.nlm.nih.gov/pubmed/34770076
http://dx.doi.org/10.3390/ijerph182111564

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8583475/
https://www.ncbi.nlm.nih.gov/pubmed/34770076
http://dx.doi.org/10.3390/ijerph182111564

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