Development of a Frailty Detection Model Using Machine Learning with the Korean Frailty and Aging Cohort Study Data

OBJECTIVES: This paper aimed to use machine learning to identify a new group of factors predicting frailty in the elderly population by utilizing the existing frailty criteria as a basis, as well as to validate the obtained results. METHODS: This study was conducted using data from the Korean Frailt...

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Detalles Bibliográficos
Autores principales: Koo, Dongjun, Lee, Ah Ra, Lee, Eunjoo, Kim, Il Kon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388915/
https://www.ncbi.nlm.nih.gov/pubmed/35982597
http://dx.doi.org/10.4258/hir.2022.28.3.231

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388915/
https://www.ncbi.nlm.nih.gov/pubmed/35982597
http://dx.doi.org/10.4258/hir.2022.28.3.231

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