Publications by authors named "William J Tucker"
Article Synopsis
- - The study examined the link between fibroblast growth factor 21 (FGF21) levels and mortality in over 5,500 participants without existing cardiovascular disease (CVD), revealing that higher FGF21 levels were correlated with increased all-cause mortality during an average follow-up of 17.7 years.
- - While baseline FGF21 was associated with both CVD and non-CVD deaths, only the connection with non-CVD mortality remained significant after adjusting for traditional risk factors like age and health conditions.
- - The findings suggest a need for further research on the role of FGF21 in predicting mortality, particularly its strong association with non-CVD deaths in individuals free of clinically evident CVD.
Background: Machine learning has been shown to outperform traditional statistical methods for risk prediction model development. We aimed to develop machine learning-based risk prediction models for cardiovascular mortality and hospitalisation for ischemic heart disease (IHD) using self-reported questionnaire data.
Methods: The 45 and Up Study was a retrospective population-based study in New South Wales, Australia (2005-2009).