Developing multifactorial dementia prediction models using clinical variables from cohorts in the US...
Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia
About this item
Full title
Author / Creator
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Existing dementia prediction models using non-neuroimaging clinical measures have been limited in their ability to identify disease. This study used machine learning to re-examine the diagnostic potential of clinical measures for dementia. Data was sourced from the Australian Imaging, Biomarkers, and Lifestyle Flagship Study of Ageing (AIBL) and th...
Alternative Titles
Full title
Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0ad9c59754fd4dd49d61e059402044b8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0ad9c59754fd4dd49d61e059402044b8
Other Identifiers
ISSN
2158-3188
E-ISSN
2158-3188
DOI
10.1038/s41398-025-03247-0
