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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
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 |
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