Development of a Machine Learning Model to Discriminate Mild Cognitive Impairment Subjects from Normal Controls in Community Screening

Background: Mild cognitive impairment (MCI) is a transitional stage between normal aging and probable Alzheimer’s disease. It is of great value to screen for MCI in the community. A novel machine learning (ML) model is composed of electroencephalography (EEG), eye tracking (ET), and neuropsychologic...

Descripción completa

Detalles Bibliográficos
Autores principales: Jiang, Juanjuan, Zhang, Jieming, Li, Chenyang, Yu, Zhihua, Yan, Zhuangzhi, Jiang, Jiehui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497124/
https://www.ncbi.nlm.nih.gov/pubmed/36138886
http://dx.doi.org/10.3390/brainsci12091149

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497124/
https://www.ncbi.nlm.nih.gov/pubmed/36138886
http://dx.doi.org/10.3390/brainsci12091149

Ejemplares similares