The development of an automated machine learning pipeline for the detection of Alzheimer’s Disease
The development of an automated machine learning pipeline for the detection of Alzheimer’s Disease
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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 possible solution to overcome many of the limitations of...
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The development of an automated machine learning pipeline for the detection of Alzheimer’s Disease
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TN_cdi_doaj_primary_oai_doaj_org_article_6c373001c6584622a135bcf3ba6b38f1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6c373001c6584622a135bcf3ba6b38f1
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-22979-3
