Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial

Quantification of identifying cognitive impairment using olfactory-stimulated functional near-infrared spectroscopy with machine learning: a post hoc analysis of a diagnostic trial and validation of an external additional trial

Abstract Background We aimed to quantify the identification of mild cognitive impairment and/or Alzheimer’s disease using olfactory-stimulated functional near-infrared spectroscopy using machine learning through a post hoc analysis of a previous diagnostic trial and an external additional trial. Met...

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Bibliographic Details
Main Authors: Jaewon Kim, Hayeon Lee, Jinseok Lee, Sang Youl Rhee, Jae Il Shin, Seung Won Lee, Wonyoung Cho, Chanyang Min, Rosie Kwon, Jae Gwan Kim, Dong Keon Yon
Format: Article
Language:English
Published: BMC 2023-07-01
Series:Alzheimer’s Research & Therapy
Subjects:
Cognitive impairment
Alzheimer’s disease
fNIRS
Mild cognitive impairment
Machine learning
Online Access:https://doi.org/10.1186/s13195-023-01268-9

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