‘Machine Learning’ multiclassification for stage diagnosis of Alzheimer’s disease utilizing augmented blood gene expression and feature fusion

‘Machine Learning’ multiclassification for stage diagnosis of Alzheimer’s disease utilizing augmented blood gene expression and feature fusion

Abstract Objective The present study explores the classification of Alzheimer’s disease (AD) stages, encompassing cognitive normalcy, Mild Cognitive Impairment (MCI), and AD/Dementia, through the application of Machine Learning (ML) multiclassification algorithms. This investigation utilizes blood g...

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Bibliographic Details
Main Authors: Manash Sarma, Subarna Chatterjee
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Applied Sciences
Subjects:
Disease stage diagnosis
Blood gene expression
Data imbalance
Multiclassification
F1 score
AD risk gene
Online Access:https://doi.org/10.1007/s42452-025-07237-1
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https://doi.org/10.1007/s42452-025-07237-1

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