Predicting early Alzheimer’s with blood biomarkers and clinical features

Predicting early Alzheimer’s with blood biomarkers and clinical features

Abstract Alzheimer’s disease (AD) is an incurable neurodegenerative disorder that leads to dementia. This study employs explainable machine learning models to detect dementia cases using blood gene expression, single nucleotide polymorphisms (SNPs), and clinical data from Alzheimer’s Disease Neuroim...

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Bibliographic Details
Main Authors: Muaath Ebrahim AlMansoori, Sherlyn Jemimah, Ferial Abuhantash, Aamna AlShehhi
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Alzheimer’s disease
Machine learning
Blood biomarkers
Clinical features
Online Access:https://doi.org/10.1038/s41598-024-56489-1

Internet

https://doi.org/10.1038/s41598-024-56489-1

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