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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...

詳細記述

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書誌詳細
出版年:Geriatrics (Basel)
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2021
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC8167558/
https://ncbi.nlm.nih.gov/pubmed/33922735
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/geriatrics6020045
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