Do Positive Psychosocial Factors Contribute to the Prediction of Coronary Artery Disease? A UK Biobank-Based Machine Learning Approach.

Aim: Most prediction models for coronary artery disease (CAD) compile biomedical and behavioural risk factors, using linear multivariate models. This study explored the potential of integrating positive psychosocial factors (PPFs), including happiness, satisfaction with life, and social support, into conventional and machine learning-based CAD prediction models.

Methods: We included UK Biobank participants without CAD at baseline.