Development and validation of a deep learning algorithm based on fundus photographs for estimating the CAIDE dementia risk score.

Background the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) dementia risk score is a recognised tool for dementia risk stratification. However, its application is limited due to the requirements for multidimensional information and fasting blood draw. Consequently, an effect...

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Publicado en:	Age & Ageing Vol. 51; no. 12; pp. 1 - 10
Autores principales:	Hua, Rong, Xiong, Jianhao, Li, Gail, Zhu, Yidan, Ge, Zongyuan, Ma, Yanjun, Fu, Meng, Li, Chenglong, Wang, Bin, Dong, Li, Zhao, Xin, Ma, Zhiqiang, Chen, Jili, Gao, Xinxiao, He, Chao, Wang, Zhaohui, Wei, Wenbin, Wang, Fei, Gao, Xiangyang, Chen, Yuzhong
Formato:	Artículo
Publicado:	Oxford University Press / USA Dec2022
Materias:	China Cross-sectional method Cognition Aging Old age Dementia risk factors Deep learning Cardiovascular diseases risk factors Confidence intervals Research methodology evaluation Research methodology Photography Sensitivity & specificity (Statistics) Algorithms
Acceso en línea:	Ver este registro en EBSCOhost