Comparative evaluation of machine learning models for dementia prediction

These findings underscore the potential of ensemble and hybrid machine learning approaches in enhancing dementia prediction accuracy, paving the way for early and reliable diagnosis.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_098569
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparative evaluation of machine learning models for dementia prediction

Dilber Uzun Ozsahin, İlker Özsahin, Berna Uzun, Efe Precious Onakpojeruo
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Comparative evaluation of machine learning models for dementia prediction

Dilber Uzun Ozsahin, İlker Özsahin, Berna Uzun, Efe Precious Onakpojeruo
article en

Abstract

These findings underscore the potential of ensemble and hybrid machine learning approaches in enhancing dementia prediction accuracy, paving the way for early and reliable diagnosis.

Alzheimer s & DementiaVol. 21(S2)
University of Sharjah (AE), Near East University (CY)
Openalex Percentile: Top 33%
Dementia and Cognitive Impairment Research
DOIOpen Access PDFOpenAlex
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Comparative evaluation of machine learning models for dementia prediction — Dilber Uzun Ozsahin, İlker Özsahin, et al. · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS