Dec 31, 2022 · A strength of this article is that the authors investigated the relevance of the input sleep features on dementia discrimination using an odds ...
Results: Fifty four percent of patients have normal cognitive function, 34% have MCI, and 12% have dementia. The prediction accuracies for all the developed ...
Jan 18, 2023 · Conclusion: ML algorithms could enhance the prediction of cognitive impairment among the middle-aged and older Chinese for 4 years and identify ...
Missing: disturbances | Show results with:disturbances
The present study introduces advanced machine learning algorithms to examine the longitudinal dataset and to the detection of the important predictive factors ...
Jul 18, 2024 · Results: Our machine learning model was able to perfectly separate between MCI and controls (area under the curve=1.0). The top predictive ...
Mar 4, 2019 · A predictive model with machine learning algorithms was built herein to classify elderly at risk for cognitive impairment 2 years later. The ...
Missing: sleep disturbances
Dec 16, 2021 · Compared with 2 existing models for dementia risk prediction (ie, Cardiovascular Risk Factors, Aging, and Incidence of Dementia Risk Score, and ...
Jul 21, 2022 · Hence, machine learning (ML) researchers have presented several methods for early detection of dementia based on symptoms. However, these ...
Feb 24, 2021 · ... elderly people at the greatest 3-year risk for cognitive impairment, which could help community nurses in the early identification of dementia.
Missing: disturbances | Show results with:disturbances
Jan 19, 2023 · Sleep and cognition in older adults. Sleep Medicine Clinics ... with cognitive impairment among Chinese older adults: Based on the CLHLS.