Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people

Objectives: This study firstly aimed to explore predicting cognitive impairment at an early stage using a large population-based longitudinal survey of elderly Chinese people. The second aim was to identify reversible factors which may help slow the rate of decline in cognitive function over 3 years...

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Detalles Bibliográficos
Autores principales: Wang, Shuojia, Wang, Weiren, Li, Xiaowen, Liu, Yafei, Wei, Jingming, Zheng, Jianguang, Wang, Yan, Ye, Birong, Zhao, Ruihui, Huang, Yu, Peng, Sixiang, Zheng, Yefeng, Zeng, Yanbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Aging Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407018/
https://www.ncbi.nlm.nih.gov/pubmed/36034140
http://dx.doi.org/10.3389/fnagi.2022.977034

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407018/
https://www.ncbi.nlm.nih.gov/pubmed/36034140
http://dx.doi.org/10.3389/fnagi.2022.977034

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