Comparison of Methods for Algorithmic Classification of Dementia Status in the Health and Retirement Study

BACKGROUND: Dementia ascertainment is time-consuming and costly. Several algorithms use existing data from the US-representative Health and Retirement Study (HRS) to algorithmically identify dementia. However, relative performance of these algorithms remains unknown. METHODS: We compared performance...

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Detalles Bibliográficos
Autores principales: Gianattasio, Kan Z., Wu, Qiong, Glymour, M. Maria, Power, Melinda C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Aging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369894/
https://www.ncbi.nlm.nih.gov/pubmed/30461528
http://dx.doi.org/10.1097/EDE.0000000000000945

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369894/
https://www.ncbi.nlm.nih.gov/pubmed/30461528
http://dx.doi.org/10.1097/EDE.0000000000000945

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