Identifying Biomarkers of Cardiovascular Diseases with Machine Learning: Evidence from The UK Household Longitudinal Study
Vasilis Nikolaou,
Sebastiano Massaro,
Masoud Fakhimi
et al.
Abstract:Cardiovascular diseases are a significant global health concern, responsible for one-third of deaths worldwide and posing a substantial burden on society and national healthcare systems. To effectively address this challenge and develop targeted intervention strategies, the ability to predict cardiovascular diseases from standardized assessments, such as occupational health encounters or national surveys, is critical. This study aims to assist these efforts by identifying a set of biomarkers, which together w… Show more
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