Artificial intelligence approaches for early detection of neurocognitive disorders among older adults

Artificial intelligence approaches for early detection of neurocognitive disorders among older adults

IntroductionDementia is one of the major global health issues among the aging population, characterized clinically by a progressive decline in higher cognitive functions. This paper aims to apply various artificial intelligence (AI) approaches to detect patients with mild cognitive impairment (MCI)...

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Bibliographic Details
Main Authors: Khalid AlHarkan, Nahid Sultana, Noura Al Mulhim, Assim M. AlAbdulKader, Noor Alsafwani, Marwah Barnawi, Khulud Alasqah, Anhar Bazuhair, Zainab Alhalwah, Dina Bokhamseen, Sumayh S. Aljameel, Sultan Alamri, Yousef Alqurashi, Kholoud Al Ghamdi
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Computational Neuroscience
Subjects:
cognitive decline
mild cognitive impairment (MCI)
dementia
artificial intelligence
logistic regression
support vector machine
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2024.1307305/full

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https://www.frontiersin.org/articles/10.3389/fncom.2024.1307305/full

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