This project develops a machine learning model to predict the risk of colorectal cancer by analyzing data from the UK Biobank, with a special focus on the predictive value of sleep patterns. The research aims to determine if a combination of self-reported data—including sleep, smoking, diabetes, and other lifestyle factors—can enhance early risk assessment for this common and serious disease.