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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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Bibliographic Details
Published in:Alzheimers Dement (N Y)
Main Authors: Cleret de Langavant, Laurent, Bayen, Eléonore, Bachoud‐Lévi, Anne‐Catherine, Yaffe, Kristine
Format: Artigo
Language:Inglês
Published: John Wiley and Sons Inc. 2020
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7453145/
https://ncbi.nlm.nih.gov/pubmed/32885026
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/trc2.12074
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