Sep 20, 2017 · This paper proposes a computational model based on the artificial neural network to classify data patterns of older adults.
We present a paper proposing a computational model based on artificial neural network to classify data patterns of elderly people in terms of dementia and Mild ...
Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals. A.J.C.C. Lins ...
Conclusions: The presented approach is a valuable tool for identifying patients with dementia or MCI and for supporting the clinician in the diagnostic process, ...
Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals. Anthony Lins. 4.
This study examined age-related changes in fMRI activation during language tasks and, in particular, their dynamic course. fMRI was performed on 22 young and 21 ...
Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals. AJCC Lins, MTC ...
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Sep 12, 2018 · ANNs have also been successfully used in neurodegenerative diseases for AD prediction [27] or MCI and AD diagnosis using neuropsychological ...
This paper serves to acquaint clinicians and other stakeholders with the use, benefits, and limitations of AI for predicting, diagnosing, and classifying mild ...
Jul 8, 2019 · The purpose of this study was to establish an early warning model using artificial neural network (ANN) for early diagnosis of AD and to explore early ...