Characterizing fall risk factors in Belgian older adults through machine learning: a data-driven approach

BACKGROUND: Falls are a major problem associated with ageing. Yet, fall-risk classification models identifying older adults at risk are lacking. Current screening tools show limited predictive validity to differentiate between a low- and high-risk of falling. OBJECTIVE: This study aims at identifyin...

Descripción completa

Detalles Bibliográficos
Autores principales: Lathouwers, Elke, Dillen, Arnau, Díaz, María Alejandra, Tassignon, Bruno, Verschueren, Jo, Verté, Dominique, De Witte, Nico, De Pauw, Kevin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707258/
https://www.ncbi.nlm.nih.gov/pubmed/36443808
http://dx.doi.org/10.1186/s12889-022-14694-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707258/
https://www.ncbi.nlm.nih.gov/pubmed/36443808
http://dx.doi.org/10.1186/s12889-022-14694-5

Ejemplares similares