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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Noriyuki Kimura, Kotaro Sasaki, Teruaki Masuda, Takuya Ataka, Mariko Matsumoto, Mika Kitamura, Yosuke Nakamura, Etsuro Matsubara
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-01-01
Col·lecció:	Alzheimer’s Research & Therapy
Matèries:	AD Alzheimer’s disease Amyloid β positivity Dementia Machine learning
Accés en línia:	https://doi.org/10.1186/s13195-024-01650-1
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!