Crash Risk Predictors in Older Drivers: A Cross-Sectional Study Based on a Driving Simulator and Machine Learning Algorithms

The ability to drive depends on the motor, visual, and cognitive functions, which are necessary to integrate information and respond appropriately to different situations that occur in traffic. The study aimed to evaluate older drivers in a driving simulator and identify motor, cognitive and visual...

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Detalles Bibliográficos
Autores principales: Silva, Vanderlei Carneiro, Dias, Aluane Silva, Greve, Julia Maria D’Andréa, Davis, Catherine L., Soares, André Luiz de Seixas, Brech, Guilherme Carlos, Ayama, Sérgio, Jacob-Filho, Wilson, Busse, Alexandre Leopold, de Biase, Maria Eugênia Mayr, Canonica, Alexandra Carolina, Alonso, Angelica Castilho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002325/
https://www.ncbi.nlm.nih.gov/pubmed/36901230
http://dx.doi.org/10.3390/ijerph20054212

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10002325/
https://www.ncbi.nlm.nih.gov/pubmed/36901230
http://dx.doi.org/10.3390/ijerph20054212

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