Early detection of mild cognitive impairment through neuropsychological tests in population screenings: a decision support system integrating ontologies and machine learning

Machine learning (ML) methodologies for detecting Mild Cognitive Impairment (MCI) are progressively gaining prevalence to manage the vast volume of processed information. Nevertheless, the black-box nature of ML algorithms and the heterogeneity within the data may result in varied interpretations ac...

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Auteurs principaux:	Alba Gómez-Valadés, Rafael Martínez-Tomás, Sara García-Herranz, Atle Bjørnerud, Mariano Rincón
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-10-01
Collection:	Frontiers in Neuroinformatics
Sujets:	ontology machine learning SWRL decision tree ensemble decision support system
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fninf.2024.1378281/full
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