Machine learning models for diagnosing Alzheimer's disease using brain cortical complexity
Machine learning models for diagnosing Alzheimer's disease using brain cortical complexity
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Publisher
Switzerland: Frontiers Media S.A
Journal title
Language
English
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Publisher
Switzerland: Frontiers Media S.A
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Scope and Contents
Contents
This study aimed to develop and validate machine learning models (MLMs) to diagnose Alzheimer's disease (AD) using cortical complexity indicated by fractal dimension (FD).
A total of 296 participants with normal cognitive (NC) function and 182 with AD from the AD Neuroimaging Initiative database were randomly divided into training and internal v...
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Full title
Machine learning models for diagnosing Alzheimer's disease using brain cortical complexity
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TN_cdi_doaj_primary_oai_doaj_org_article_98bd0c8d18e549398768b59182b51413
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_98bd0c8d18e549398768b59182b51413
Other Identifiers
ISSN
1663-4365
E-ISSN
1663-4365
DOI
10.3389/fnagi.2024.1434589
