Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score

Di, X., Yin, Y., Fu, Y., Mo, Z., Lo, S.-H., DiGuiseppi, C., Eby, D. W., Hill, L., Mielenz, T. J., Strogatz, D., Kim, M., & Li, G. (2023). Detecting mild cognitive impairment and dementia in older adults using naturalistic driving data and interaction-based classification from influence score. Artificial Intelligence in Medicine, 138, 102510. https://doi.org/10.1016/j.artmed.2023.102510
Authors:
Xuan Di
Yiqiao Yin
Yongjie Fu
Zhaobin Mo
Shaw-Hwa Lo
Carolyn DiGuiseppi
David W Eby
Linda Hill
Thelma J Mielenz
David Strogatz
Minjae Kim
Guohua Li
Affiliated Authors:
Xuan Di
Yiqiao Yin
Shaw-Hwa Lo
Thelma J Mielenz
Minjae Kim
Guohua Li
Columbia Affiliation:
Subjects:
Alzheimer Disease (MeSH)
Cognitive Dysfunction (MeSH)
Author Keywords:
i-score
interaction-based residual blocks
mild cognitive impairment (mci) and dementia
naturalistic driving data
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Publication Type:
Article
Unique ID:
10.1016/j.artmed.2023.102510
PMID:
36990588
DOI:
10.1016/j.artmed.2023.102510
Journal:
Artificial Intelligence in Medicine
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: