Exploring sex disparities in cardiovascular disease risk factors using principal component analysis and latent class analysis techniques
Abstract Background This study used machine learning techniques to evaluate cardiovascular disease risk factors (CVD) and the relationship between sex and these risk factors. The objective was pursued in the context of CVD being a major global cause of death and the need for accurate identification...
| Главные авторы: | , |
|---|---|
| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
BMC
2023-05-01
|
| Серии: | BMC Medical Informatics and Decision Making |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1186/s12911-023-02179-3 |