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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...
Autores principales: | Gianattasio, Kan Z., Wu, Qiong, Glymour, M. Maria, Power, Melinda C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2019
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Materias: | |
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 |
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