Multipredictor risk models for predicting individual risk of Alzheimer’s disease

Abstract Background Early prevention of Alzheimer’s disease (AD) is a feasible way to delay AD onset and progression. Information on AD prediction at the individual patient level will be useful in AD prevention. In this study, we aim to develop risk models for predicting AD onset at individual level...

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Bibliographic Details

Published in:	Journal of Translational Medicine
Main Authors:	Xiao-He Hou, John Suckling, Xue-Ning Shen, Yong Liu, Chuan-Tao Zuo, Yu-Yuan Huang, Hong-Qi Li, Hui-Fu Wang, Chen-Chen Tan, Mei Cui, Qiang Dong, Lan Tan, Jin-Tai Yu, Alzheimer’s Disease Neuroimaging Initiative
Format:	Article
Language:	English
Published:	BMC 2023-10-01
Subjects:	Alzheimer’s disease Risk model Prediction Cognition
Online Access:	https://doi.org/10.1186/s12967-023-04646-x