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...

詳細記述

書誌詳細
主要な著者: Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, Hoshang Kolivand, Dhiya Al-Jumeily
フォーマット: 論文
言語:English
出版事項: Nature Portfolio 2024-02-01
シリーズ:Scientific Reports
オンライン・アクセス:https://doi.org/10.1038/s41598-024-51985-w