Comparing feature selection methods to improve the classification of Mild Cognitive Impairment patients based on Magnetoencephalography data

Background Machine learning (ML) algorithms are generating great interest for early diagnose of Alzheimer’s disease (AD). Despite several approaches have been developed, limited research has been conducted on the impact of feature selection in classification performance. In this study we compare two...

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Veröffentlicht in:	Alzheimer's & dementia 2023-12, Vol.19 (S24), p.n/a
Hauptverfasser:	Martínez‐Évora, Adelia‐Solás, Carrasco‐Gómez, Martín, Shpakivska‐Bilán, Danylyna, Nebreda, Alberto, García‐Colomo, Alejandra, Maestú, Fernando
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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