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Identification of high likelihood of dementia in population-based surveys using unsupervised clustering: a longitudinal analysis.

Amin Gharbi-MelianiFrançois HussonHenri VandendriesscheEleonore BayenKristine YaffeAnne-Catherine Bachoud-LéviLaurent Cleret de Langavant
Published in: Alzheimer's research & therapy (2023)
Machine learning clustering can be used to study dementia determinants and outcomes in longitudinal population ageing surveys in which dementia clinical diagnosis is lacking.
Keyphrases
  • mild cognitive impairment
  • machine learning
  • cognitive impairment
  • cross sectional
  • single cell
  • rna seq
  • artificial intelligence
  • type diabetes
  • big data
  • skeletal muscle
  • insulin resistance