Prediction of cardiovascular disease risk based on major contributing features

The risk of cardiovascular disease (CVD) is a serious health threat to human society worldwide. The use of machine learning methods to predict the risk of CVD is of great relevance to identify high-risk patients and take timely interventions. In this study, we propose the XGBH machine learning model...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Mengxiao, Hou, Fan, Cheng, Zhixiang, Shen, Tongtong, Liu, Kaixian, Zhao, Cai, Zheng, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036320/
https://www.ncbi.nlm.nih.gov/pubmed/36959459
http://dx.doi.org/10.1038/s41598-023-31870-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036320/
https://www.ncbi.nlm.nih.gov/pubmed/36959459
http://dx.doi.org/10.1038/s41598-023-31870-8

Ejemplares similares