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Language patterns in Japanese patients with Alzheimer disease: A machine learning approach.

Yuki MomotaKuo-Ching LiangToshiro HorigomeMomoko KitazawaYoko EguchiAkihiro TakamiyaAkiko GotoMasaru MimuraTaishiro Kishimoto
Published in: Psychiatry and clinical neurosciences (2022)
The current study demonstrated a promising level of accuracy for predicting AD and found the language patterns corresponding to the type of lexical-semantic decline known as 'empty speech', which is regarded as a characteristic of AD.
Keyphrases
  • machine learning
  • autism spectrum disorder
  • mild cognitive impairment
  • artificial intelligence
  • deep learning