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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...
Autores principales: | Engvig, Andreas, Maglanoc, Luigi A., Doan, Nhat Trung, Westlye, Lars T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
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 |
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