Detecting Amyloid Positivity in Elderly With Increased Risk of Cognitive Decline.
Alzheimer’s disease
amyloid beta
apolipoprotein E
cognition
machine learning
magnetic resonance imaging
positron emission tomography
Journal
Frontiers in aging neuroscience
ISSN: 1663-4365
Titre abrégé: Front Aging Neurosci
Pays: Switzerland
ID NLM: 101525824
Informations de publication
Date de publication:
2020
2020
Historique:
received:
30
03
2020
accepted:
29
06
2020
entrez:
28
8
2020
pubmed:
28
8
2020
medline:
28
8
2020
Statut:
epublish
Résumé
The importance of early interventions in Alzheimer's disease (AD) emphasizes the need to accurately and efficiently identify at-risk individuals. Although many dementia prediction models have been developed, there are fewer studies focusing on detection of brain pathology. We developed a model for identification of amyloid-PET positivity using data on demographics, vascular factors, cognition,
Identifiants
pubmed: 32848707
doi: 10.3389/fnagi.2020.00228
pmc: PMC7406705
doi:
Types de publication
Journal Article
Langues
eng
Pagination
228Informations de copyright
Copyright © 2020 Pekkala, Hall, Ngandu, Gils, Helisalmi, Hänninen, Kemppainen, Liu, Lötjönen, Paajanen, Rinne, Soininen, Kivipelto and Solomon.
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