Synthetic data analysis for early detection of Alzheimer progression through machine learning algorithms

Synthetic data analysis for early detection of Alzheimer progression through machine learning algorithms

Alzheimer’s disease (AD) is a serious neurodegenerative disorder that causes incurable and irreversible neuronal loss and synaptic dysfunction. The progress of this disease is gradual and depending on the stage of its detection, only its progression can be treated, reducing the most aggressive sympt...

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Bibliographic Details
Main Authors: Ana Gabriela Sánchez Reyna, Ricardo Mendoza-Gonzalez, Huizilopoztli Luna-García, José María Celaya Padilla, Jorge Alejandro Morgan Benita, Carlos H. Espino-Salinas, Jorge I. Galván-Tejada, David Rondon, Klinge Villalba-Condori
Format: Article
Language:English
Published: PeerJ Inc. 2024-12-01
Series:PeerJ Computer Science
Subjects:
Alzheimer’s disease
Machine learning
Neuropsychological assessments
Recursive feature elimination
Akaike information criterion
Logistic regression
Online Access:https://peerj.com/articles/cs-2437.pdf
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