Improving Early Detection of Dementia: Extra Trees-Based Classification Model Using Inter-Relation-Based Features and K-Means Synthetic Minority Oversampling Technique

Improving Early Detection of Dementia: Extra Trees-Based Classification Model Using Inter-Relation-Based Features and K-Means Synthetic Minority Oversampling Technique

The early detection of dementia, a condition affecting both individuals and society, is essential for its effective management. However, reliance on advanced laboratory tests and specialized expertise limits accessibility, hindering timely diagnosis. To address this challenge, this study proposes a...

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Bibliographic Details
Main Authors: Yanawut Chaiyo, Worasak Rueangsirarak, Georgi Hristov, Punnarumol Temdee
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Big Data and Cognitive Computing
Subjects:
dementia
classification
K-Means SMOTE
extra trees
feature augmentation
Online Access:https://www.mdpi.com/2504-2289/9/6/148
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