A Comparison of Machine Learning Algorithms for Predicting Alzheimer’s Disease Using Neuropsychological Data
Alzheimer’s disease (AD) is a gradient degeneration of essential cognitive activities such as memory, thinking, and cognition. AD mainly affects elderly individuals and is recognized as the most common cause of dementia. This study investigates the predictive performance of nine supervised machine l...
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Main Authors: | Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik |
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Format: | Article |
Language: | English |
Published: |
IMS Vogosca
2024-12-01
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Series: | Science, Engineering and Technology |
Subjects: | |
Online Access: | https://setjournal.com/SET/article/view/182 |
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