Cargando…
Can the Random Forests Model Improve the Power to Predict the Intention of the Elderly in a Community to Participate in a Cognitive Health Promotion Program?
BACKGROUND: We aimed to develop a model predicting the participation of the elderly in a cognitive health program using the random forest algorithm and presented baseline information for enhancing cognitive health. METHODS: This study analyzed the raw data of Seoul Welfare Panel Study (SWPS) (20), w...
Autor principal: | BYEON, Haewon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956102/ https://www.ncbi.nlm.nih.gov/pubmed/33747995 http://dx.doi.org/10.18502/ijph.v50i2.5346 |
Ejemplares similares
-
Is the Random Forest Algorithm Suitable for Predicting Parkinson’s Disease with Mild Cognitive Impairment out of Parkinson’s Disease with Normal Cognition?
por: Byeon, Haewon
Publicado: (2020) -
Can the prediction model using regression with optimal scale improve the power to predict the Parkinson's dementia?
por: Byeon, Haewon
Publicado: (2022) -
Analysis of dysphagia risk using the modified dysphagia risk assessment for
the community-dwelling elderly
por: Byeon, Haewon
Publicado: (2016) -
Predicting the Swallow-Related Quality of Life of the Elderly Living in a Local Community Using Support Vector Machine
por: Byeon, Haewon
Publicado: (2019) -
Development of a Nomogram for Predicting Depression in the Elderly Using Patient Health Questionnaire-9 among a Nationwide Sample of Korean Elderly
por: Byeon, Haewon
Publicado: (2021)