Machine Learning-Driven Prediction of Brain Age for Alzheimer’s Risk: APOE4 Genotype and Gender Effects

Machine Learning-Driven Prediction of Brain Age for Alzheimer’s Risk: APOE4 Genotype and Gender Effects

<b>Background:</b> Alzheimer’s disease (AD) is a leading cause of dementia, and it is significantly influenced by the apolipoprotein E4 (APOE4) gene and gender. This study aimed to use machine learning (ML) algorithms to predict brain age and assess AD risk by considering the effects of...

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Bibliographic Details
Main Authors: Carter Woods, Xin Xing, Subash Khanal, Ai-Ling Lin
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Bioengineering
Subjects:
brain age prediction
Alzheimer’s disease
apolipoprotein E4 alleles
magnetic resonance imaging
machine learning
random forest
Online Access:https://www.mdpi.com/2306-5354/11/9/943
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