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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |