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Using Naturalistic Driving Data to Predict Mild Cognitive Impairment and Dementia: Preliminary Findings from the Longitudinal Research on Aging Drivers (LongROAD) Study
Emerging evidence suggests that atypical changes in driving behaviors may be early signals of mild cognitive impairment (MCI) and dementia. This study aims to assess the utility of naturalistic driving data and machine learning techniques in predicting incident MCI and dementia in older adults. Mont...
Autores principales: | Di, Xuan, Shi, Rongye, DiGuiseppi, Carolyn, Eby, David W., Hill, Linda L., Mielenz, Thelma J., Molnar, Lisa J., Strogatz, David, Andrews, Howard F., Goldberg, Terry E., Lang, Barbara H., Kim, Minjae, Li, Guohua |
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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/PMC8167558/ https://www.ncbi.nlm.nih.gov/pubmed/33922735 http://dx.doi.org/10.3390/geriatrics6020045 |
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