Cargando…
Machine learning-aided risk prediction for metabolic syndrome based on 3 years study
Metabolic syndrome (MetS) is a group of physiological states of metabolic disorders, which may increase the risk of diabetes, cardiovascular and other diseases. Therefore, it is of great significance to predict the onset of MetS and the corresponding risk factors. In this study, we investigate the r...
Autores principales: | Yang, Haizhen, Yu, Baoxian, OUYang, Ping, Li, Xiaoxi, Lai, Xiaoying, Zhang, Guishan, Zhang, Han |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8831522/ https://www.ncbi.nlm.nih.gov/pubmed/35145200 http://dx.doi.org/10.1038/s41598-022-06235-2 |
Ejemplares similares
-
Predictive analysis of metabolic syndrome based on 5-years continuous physical examination data
por: Zou, Guohan, et al.
Publicado: (2023) -
Machine Learning-Based Prediction for 4-Year Risk of Metabolic Syndrome in Adults: A Retrospective Cohort Study
por: Zhang, Hui, et al.
Publicado: (2021) -
Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning
por: Zhang, Guishan, et al.
Publicado: (2020) -
Visual Tracking Based on Extreme Learning Machine and Sparse Representation
por: Wang, Baoxian, et al.
Publicado: (2015) -
Machine learning-based predictive model for prevention of metabolic syndrome
por: Shin, Hyunseok, et al.
Publicado: (2023)