Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Mitigating effects and mechanisms of Tai Chi on mild cognitive impairment in the elderly
por: Wang, Xin, et al.
Publicado: (2023) -
Impact of impaired cerebral blood flow autoregulation on cognitive impairment
por: Wang, Shaoxun, et al.
Publicado: (2022) -
Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View
por: Hou, Yanbing, et al.
Publicado: (2022) -
Efficacy of Tai Chi-Style Multi-Component Exercise on Frontal-Related Cognition and Physical Health in Elderly With Amnestic Mild Cognitive Impairment
por: Yang, Shao-Yun, et al.
Publicado: (2021) -
Effects of Tempeh Probiotics on Elderly With Cognitive Impairment
por: Handajani, Yvonne Suzy, et al.
Publicado: (2022)