Machine learning of brain structural biomarkers for Alzheimer's disease (AD) diagnosis, prediction of disease progression, and amyloid beta deposition in the Japanese population

Machine learning of brain structural biomarkers for Alzheimer's disease (AD) diagnosis, prediction of disease progression, and amyloid beta deposition in the Japanese population

Abstract Introduction We developed machine learning (ML) designed to analyze structural brain magnetic resonance imaging (MRI), and trained it on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. In this study, we verified its utility in the Japanese population. Methods A total o...

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Manylion Llyfryddiaeth
Prif Awduron: Akihiko Shiino, Yoshitomo Shirakashi, Manabu Ishida, Kenji Tanigaki, Japanese Alzheimer's Disease Neuroimaging Initiative
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Wiley 2021-01-01
Cyfres:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Pynciau:
ADNI
Alzheimer's disease
artificial intelligence
machine learning
MRI
Mynediad Ar-lein:https://doi.org/10.1002/dad2.12246

Rhyngrwyd

https://doi.org/10.1002/dad2.12246

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