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

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 using o...

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Detalles Bibliográficos
Autores principales: Hou, Xiao-He, Suckling, John, Shen, Xue-Ning, Liu, Yong, Zuo, Chuan-Tao, Huang, Yu-Yuan, Li, Hong-Qi, Wang, Hui-Fu, Tan, Chen-Chen, Cui, Mei, Dong, Qiang, Tan, Lan, Yu, Jin-Tai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614397/
https://www.ncbi.nlm.nih.gov/pubmed/37904154
http://dx.doi.org/10.1186/s12967-023-04646-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614397/
https://www.ncbi.nlm.nih.gov/pubmed/37904154
http://dx.doi.org/10.1186/s12967-023-04646-x

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