Machine learning identifies prominent factors associated with cardiovascular disease: findings from two million adults in the Kashgar Prospective Cohort Study (KPCS)

BACKGROUND: Identifying factors associated with cardiovascular disease (CVD) is critical for its prevention, but this topic is scarcely investigated in Kashgar prefecture, Xinjiang, northwestern China. We thus explored the CVD epidemiology and identified prominent factors associated with CVD in this...

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Detalles Bibliográficos
Autores principales: Li, Jia-Xin, Li, Li, Zhong, Xuemei, Fan, Shu-Jun, Cen, Tao, Wang, Jianquan, He, Chuanjiang, Zhang, Zhoubin, Luo, Ya-Na, Liu, Xiao-Xuan, Hu, Li-Xin, Zhang, Yi-Dan, Qiu, Hui-Ling, Dong, Guang-Hui, Zou, Xiao-Guang, Yang, Bo-Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724436/
https://www.ncbi.nlm.nih.gov/pubmed/36474302
http://dx.doi.org/10.1186/s41256-022-00282-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9724436/
https://www.ncbi.nlm.nih.gov/pubmed/36474302
http://dx.doi.org/10.1186/s41256-022-00282-y

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