Source: International jornual of environmental research and public health. Unidade: FM
Subjects: IDOSOS, SIMULAÇÃO (APRENDIZAGEM), ACIDENTES DE TRÂNSITO
ABNT
SILVA, V. C et al. Crash risk predictors in Older Drivers: a cross-sectional study based on a driving simulator and machine learning algorithms. International jornual of environmental research and public health, v. 20, n. 5, 2023Tradução . . Disponível em: https://observatorio.fm.usp.br/handle/OPI/58633. Acesso em: 01 nov. 2024.APA
Silva, V. C., Dias, A. S., Greve, J. M. D. 'A., Davis, C. L., Soares, A. L. D. S., Brech, G. C., et al. (2023). Crash risk predictors in Older Drivers: a cross-sectional study based on a driving simulator and machine learning algorithms. International jornual of environmental research and public health, 20( 5). doi:10.3390/ijerph20054212NLM
Silva VC, Dias AS, Greve JMD'A, Davis CL, Soares ALDS, Brech GC, Ayama S, Jacob Filho W, Busse AL, Biase MEM de. Crash risk predictors in Older Drivers: a cross-sectional study based on a driving simulator and machine learning algorithms [Internet]. International jornual of environmental research and public health. 2023 ; 20( 5):[citado 2024 nov. 01 ] Available from: https://observatorio.fm.usp.br/handle/OPI/58633Vancouver
Silva VC, Dias AS, Greve JMD'A, Davis CL, Soares ALDS, Brech GC, Ayama S, Jacob Filho W, Busse AL, Biase MEM de. Crash risk predictors in Older Drivers: a cross-sectional study based on a driving simulator and machine learning algorithms [Internet]. International jornual of environmental research and public health. 2023 ; 20( 5):[citado 2024 nov. 01 ] Available from: https://observatorio.fm.usp.br/handle/OPI/58633