Machine learning models for dementia screening to classify brain amyloid positivity on positron emission tomography using blood markers and demographic characteristics: a retrospective observational study
Abstract Background Intracerebral amyloid β (Aβ) accumulation is considered the initial observable event in the pathological process of Alzheimer’s disease (AD). Efficient screening for amyloid pathology is critical for identifying patients for early treatment. This study developed machine learning...
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Main Authors: | Noriyuki Kimura, Kotaro Sasaki, Teruaki Masuda, Takuya Ataka, Mariko Matsumoto, Mika Kitamura, Yosuke Nakamura, Etsuro Matsubara |
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Format: | Article |
Language: | English |
Published: |
BMC
2025-01-01
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Series: | Alzheimer’s Research & Therapy |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13195-024-01650-1 |
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