In this paper, we explore the feasibility of autonomously detecting mild cognitive impairment (MCI) in the older adult population.
In this paper we explore the feasibility of autonomously detecting mild cognitive impairment (MCI) in the older adult population.
Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older ...
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Apr 17, 2015 · This study is of great significance since it can potentially assist in the early detection of cognitive impairment in older adults. Index Terms— ...
Oct 22, 2024 · To address this problem, in this paper we explore the feasibility of autonomously detecting mild cognitive impairment (MCI) in the older adult ...
Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older ...
ieeexplore.ieee.org › iel7
In their latest study, the CASAS group used a machine learning approach to detect cognitive impairment in about 179 older adults based on their ability to ...
This paper builds generalized linear models of home activity of older adults monitored using unobtrusive sensing technologies and uses inhomogenous Poisson ...
Oct 22, 2024 · Using a simple thresholding approach, we were able to detect mild cognitive impairment in older adults with an average area under the ROC curve ...
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Unobtrusive continuous assessment of a complex activity such as home computer use may detect mild functional changes and identify MCI.
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Automatic Detection of Mild Cognitive Impairment in Older Adults Using Unobtrusive Sensing Technologies. Author: Akl, Ahmad. Advisor: Mihailidis, Alex.
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Investigators at University of Toronto Report Findings in Machine Learning (Autonomous Unobtrusive Detection of Mild Cognitive Impairment in Older Adults) ...