Cargando…
Estimation of Functional Fitness of Korean Older Adults Using Machine Learning Techniques: The National Fitness Award 2015–2019
Measuring functional fitness (FF) to track the decline in physical abilities is important in order to maintain a healthy life in old age. This paper aims to develop an estimation model of FF variables, which represents strength, flexibility, and aerobic endurance, using easy-to-measure physical para...
Autores principales: | Lee, Sang-Hun, Lee, Seung-Hun, Kim, Sung-Woo, Park, Hun-Young, Lim, Kiwon, Jung, Hoeryong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9367869/ https://www.ncbi.nlm.nih.gov/pubmed/35955109 http://dx.doi.org/10.3390/ijerph19159754 |
Ejemplares similares
-
Estimation of Health-Related Physical Fitness Using Multiple Linear Regression in Korean Adults: National Fitness Award 2015–2019
por: Kim, Sung-Woo, et al.
Publicado: (2021) -
Development of Functional Fitness Prediction Equation in Korean Older Adults: The National Fitness Award 2015–2019
por: Kim, Sung-Woo, et al.
Publicado: (2022) -
Estimation of Health-Related Physical Fitness (HRPF) Levels of the General Public Using Artificial Neural Network with the National Fitness Award (NFA) Datasets
por: Lee, Seung-Hun, et al.
Publicado: (2021) -
Body mass index and relative handgrip strength are associated with the prevalence of hypertension in Korean elderly: Korean national fitness assessment in 2019
por: Kim, Ji Young, et al.
Publicado: (2021) -
Physical Fitness Levels in Korean Adolescents: The National Fitness Award Project
por: Lee, Seunghee, et al.
Publicado: (2017)