Approximating dementia prevalence in population‐based surveys of aging worldwide: An unsupervised machine learning approach

INTRODUCTION: Ability to determine dementia prevalence in low‐ and middle‐income countries (LMIC) remains challenging because of frequent lack of data and large discrepancies in dementia case ascertainment. METHODS: High likelihood of dementia was determined with hierarchical clustering after princi...

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Detalles Bibliográficos
Autores principales: Cleret de Langavant, Laurent, Bayen, Eléonore, Bachoud‐Lévi, Anne‐Catherine, Yaffe, Kristine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453145/
https://www.ncbi.nlm.nih.gov/pubmed/32885026
http://dx.doi.org/10.1002/trc2.12074

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7453145/
https://www.ncbi.nlm.nih.gov/pubmed/32885026
http://dx.doi.org/10.1002/trc2.12074

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