Machine learning models for dementia screening to classify brain amyloid positivity on positron emis...
Machine learning models for dementia screening to classify brain amyloid positivity on positron emission tomography using blood markers and demographic characteristics: a retrospective observational study
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Intracerebral amyloid β (Aβ) accumulation is considered the initial observable event in the pathological process of Alzheimer's disease (AD). Efficient screening for amyloid pathology is critical for identifying patients for early treatment. This study developed machine learning models to classify positron emission tomography (PET) Aβ-positivity in...
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Machine learning models for dementia screening to classify brain amyloid positivity on positron emission tomography using blood markers and demographic characteristics: a retrospective observational study
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TN_cdi_doaj_primary_oai_doaj_org_article_e4092ef1ee1e46e9ab3f4cc56fe58fae
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4092ef1ee1e46e9ab3f4cc56fe58fae
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ISSN
1758-9193
E-ISSN
1758-9193
DOI
10.1186/s13195-024-01650-1
