Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement longitudinal study (CHARLS)

Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement longitudinal study (CHARLS)

Abstract Background Due to the ageing population and evolving lifestyles occurring in China, middle-aged and elderly populations have become high-risk groups for cardiovascular disease (CVD). The aim of this study was to analyse the incidence characteristics of CVD in these populations and develop a...

Full description

Saved in:
Bibliographic Details
Main Authors: Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Public Health
Subjects:
Cardiovascular disease
Middle-aged and elderly individuals
Morbidity characteristics
Machine learning
Predictive modelling
Online Access:https://doi.org/10.1186/s12889-025-21609-7
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12889-025-21609-7

Similar Items