Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol

Predicting crash injury severity is a crucial constituent of reducing the consequences of traffic crashes. This study developed machine learning (ML) models to predict crash injury severity using 15 crash-related parameters. Separate ML models for each cluster were obtained using fuzzy c-means, whic...

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Detalles Bibliográficos
Autores principales: Assi, Khaled, Rahman, Syed Masiur, Mansoor, Umer, Ratrout, Nedal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432564/
https://www.ncbi.nlm.nih.gov/pubmed/32751470
http://dx.doi.org/10.3390/ijerph17155497

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7432564/
https://www.ncbi.nlm.nih.gov/pubmed/32751470
http://dx.doi.org/10.3390/ijerph17155497

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