Development and validation of a model to predict the progression of Alzheimer's disease.

Background Cognition monitoring is crucial for care planning in people with mild cognitive impairment (MCI) and Alzheimer's dementia (AD). Objective To develop a machine learning model to assist cognition monitoring. Design Florey Fusion Model (FFM) was constructed and validated in two phases: (i) m...

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Detalles Bibliográficos
Publicado en:	Age & Ageing Vol. 54; no. 7; pp. 1 - 11
Autores principales:	Chu, Chenyin, Wang, Yihan, Huynh, Andrew L H, Ng, Ka Weng, Liu, Shu, Ji, Guangyan, Doecke, James, Fripp, Jurgen, Masters, Colin L, Goudey, Benjamin, Jin, Liang, Pan, Yijun
Formato:	Artículo
Publicado:	Oxford University Press / USA Jul2025
Materias:	Australia Risk assessment Random forest algorithms Alzheimer's disease Prediction models Mild cognitive impairment Cognitive testing Research funding Receiver operating characteristic curves Questionnaires Descriptive statistics Support vector machines Simulation methods in education Machine learning Comparative studies Disease progression
Acceso en línea:	Ver este registro en EBSCOhost

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