Cardiovascular disease (CVD) is one of the leading causes of death worldwide. While risk factors like age, body mass index (BMI), blood pressure, cholesterol, and smoking are well-known, recent studies suggest that mental health issues such as depression, anxiety, stress, and mood swings may also play a role in developing CVD.
This project aims to study the combined effect of physical and psychological factors on heart disease using data from the UK Biobank. We want to find out if adding mental health data can improve how well we predict a person’s risk of getting CVD.
Our main goals are:
a) To understand how mental health conditions relate to heart disease
b) To build machine learning models that use both physical and mental health information to predict CVD risk
This research could help create more complete and accurate health risk assessments, leading to better prevention and care strategies.