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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| 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 |