Identifying Key Predictors of Cognitive Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study

BACKGROUND: Machine learning techniques, specifically classification algorithms, may be effective to help understand key health, nutritional, and environmental factors associated with cognitive function in aging populations. OBJECTIVE: This study aims to use classification techniques to identify the...

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Detalles Bibliográficos
Autores principales: Rankin, Debbie, Black, Michaela, Flanagan, Bronac, Hughes, Catherine F, Moore, Adrian, Hoey, Leane, Wallace, Jonathan, Gill, Chris, Carlin, Paul, Molloy, Anne M, Cunningham, Conal, McNulty, Helene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527918/
https://www.ncbi.nlm.nih.gov/pubmed/32936084
http://dx.doi.org/10.2196/20995

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7527918/
https://www.ncbi.nlm.nih.gov/pubmed/32936084
http://dx.doi.org/10.2196/20995

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