The development of an automated machine learning pipeline for the detection of Alzheimer’s Disease

Although Alzheimer’s disease is the most prevalent form of dementia, there are no treatments capable of slowing disease progression. A lack of reliable disease endpoints and/or biomarkers contributes in part to the absence of effective therapies. Using machine learning to analyze EEG offers a possib...

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Detalles Bibliográficos
Autores principales: Chedid, Nicholas, Tabbal, Judie, Kabbara, Aya, Allouch, Sahar, Hassan, Mahmoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616932/
https://www.ncbi.nlm.nih.gov/pubmed/36307518
http://dx.doi.org/10.1038/s41598-022-22979-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616932/
https://www.ncbi.nlm.nih.gov/pubmed/36307518
http://dx.doi.org/10.1038/s41598-022-22979-3

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