Data-driven health deficit assessment improves a frailty index’s prediction of current cognitive status and future conversion to dementia: results from ADNI

Frailty is a dementia risk factor commonly measured by a frailty index (FI). The standard procedure for creating an FI requires manually selecting health deficit items and lacks criteria for selection optimization. We hypothesized that refining the item selection using data-driven assessment improve...

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Detalles Bibliográficos
Autores principales: Engvig, Andreas, Maglanoc, Luigi A., Doan, Nhat Trung, Westlye, Lars T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886733/
https://www.ncbi.nlm.nih.gov/pubmed/36260263
http://dx.doi.org/10.1007/s11357-022-00669-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886733/
https://www.ncbi.nlm.nih.gov/pubmed/36260263
http://dx.doi.org/10.1007/s11357-022-00669-2

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