Machine learning models for identifying pre-frailty in community dwelling older adults

BACKGROUND: There is increasing evidence that pre-frailty manifests as early as middle age. Understanding the factors contributing to an early trajectory from good health to pre-frailty in middle aged and older adults is needed to inform timely preventive primary care interventions to mitigate early...

Descripción completa

Detalles Bibliográficos
Autores principales: Sajeev, Shelda, Champion, Stephanie, Maeder, Anthony, Gordon, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554971/
https://www.ncbi.nlm.nih.gov/pubmed/36221059
http://dx.doi.org/10.1186/s12877-022-03475-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554971/
https://www.ncbi.nlm.nih.gov/pubmed/36221059
http://dx.doi.org/10.1186/s12877-022-03475-9

Ejemplares similares