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

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. METHODS: We...

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Detalles Bibliográficos
Autores principales: Kim, Jaewon, Lee, Hayeon, Lee, Jinseok, Rhee, Sang Youl, Shin, Jae Il, Lee, Seung Won, Cho, Wonyoung, Min, Chanyang, Kwon, Rosie, Kim, Jae Gwan, Yon, Dong Keon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362671/
https://www.ncbi.nlm.nih.gov/pubmed/37481573
http://dx.doi.org/10.1186/s13195-023-01268-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10362671/
https://www.ncbi.nlm.nih.gov/pubmed/37481573
http://dx.doi.org/10.1186/s13195-023-01268-9

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