Comparison of machine learning algorithms for automatic prediction of Alzheimer disease.

Journal: Journal of the Chinese Medical Association : JCMA

Published Date: Nov 8, 2024

Abstract

BACKGROUND: Alzheimer disease is a progressive neurological disorder marked by irreversible memory loss and cognitive decline. Traditional diagnostic tools, such as intracranial volume assessments, electroencephalography (EEG) signals, and brain magnetic resonance imaging (MRI), have shown utility in detecting the disease. However, artificial intelligence (AI) offers promise for automating this process, potentially enhancing diagnostic accuracy and accessibility.

Authors

Emrah Aslan

Faculty of Engineering and Architecture, Mardin Artuklu University, Mardin, Turkey.
Yildirim Özüpak

Department of Electricity and Energy, Silvan Vocational School, Dicle University, Diyarbakir, Turkey.

Keywords

Aged Algorithms Alzheimer Disease Female Humans Machine Learning Male Support Vector Machine

External Resources

View on PubMed Access via DOI PubMed (39965789)

Comparison of machine learning algorithms for automatic prediction of Alzheimer disease.

Abstract

Authors

Keywords

External Resources

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