Cargando…
A Cardiovascular Disease Prediction Model Based on Routine Physical Examination Indicators Using Machine Learning Methods: A Cohort Study
BACKGROUND: Cardiovascular diseases (CVD) are currently the leading cause of premature death worldwide. Model-based early detection of high-risk populations for CVD is the key to CVD prevention. Thus, this research aimed to use machine learning (ML) algorithms to establish a CVD prediction model bas...
Autores principales: | Qian, Xin, Li, Yu, Zhang, Xianghui, Guo, Heng, He, Jia, Wang, Xinping, Yan, Yizhong, Ma, Jiaolong, Ma, Rulin, Guo, Shuxia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9247206/ https://www.ncbi.nlm.nih.gov/pubmed/35783868 http://dx.doi.org/10.3389/fcvm.2022.854287 |
Ejemplares similares
-
Cardiovascular Disease Prediction by Machine Learning Algorithms Based on Cytokines in Kazakhs of China
por: Jiang, Yunxing, et al.
Publicado: (2021) -
Comparison of the Incidence of Cardiovascular Diseases in Weight Groups with Healthy and Unhealthy Metabolism
por: Wang, Wenqiang, et al.
Publicado: (2021) -
Study on the prediction model of atherosclerotic cardiovascular disease in the rural Xinjiang population based on survival analysis
por: Qian, Xin, et al.
Publicado: (2023) -
Microarray analysis of long non-coding RNA expression profiles in low high-density lipoprotein cholesterol disease
por: Wang, Xinping, et al.
Publicado: (2020) -
External validation of three atherosclerotic cardiovascular disease risk equations in rural areas of Xinjiang, China
por: Jiang, Yunxing, et al.
Publicado: (2020)