Language patterns in Japanese patients with Alzheimer disease: A machine learning approach.
Yuki MomotaKuo-Ching LiangToshiro HorigomeMomoko KitazawaYoko EguchiAkihiro TakamiyaAkiko GotoMasaru MimuraTaishiro KishimotoPublished 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.