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

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 of 535 p...

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Detalles Bibliográficos
Autores principales: Shiino, Akihiko, Shirakashi, Yoshitomo, Ishida, Manabu, Tanigaki, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Neuroimaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515359/
https://www.ncbi.nlm.nih.gov/pubmed/34692983
http://dx.doi.org/10.1002/dad2.12246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8515359/
https://www.ncbi.nlm.nih.gov/pubmed/34692983
http://dx.doi.org/10.1002/dad2.12246

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