An explainable machine learning approach for Alzheimer’s disease classification

An explainable machine learning approach for Alzheimer’s disease classification

Abstract The early diagnosis of Alzheimer’s disease (AD) presents a significant challenge due to the subtle biomarker changes often overlooked. Machine learning (ML) models offer a promising tool for identifying individuals at risk of AD. However, current research tends to prioritize ML accuracy whi...

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Bibliografski detalji
Glavni autori: Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, Hoshang Kolivand, Dhiya Al-Jumeily
Format: Članak
Jezik:English
Izdano: Nature Portfolio 2024-02-01
Serija:Scientific Reports
Online pristup:https://doi.org/10.1038/s41598-024-51985-w

Internet

https://doi.org/10.1038/s41598-024-51985-w

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