In a recent study by NYU published in Scientific Reports, a machine learning model was applied to electronic health records to foresee pancreatic cancer risk within three years. The validated model (AUROC 0.742) identifies patients in the top risk percentile with a sixfold increase, demonstrating potential for proactive screening and improved outcomes.
Q&A
- What is AUROC?
- How is the model trained?
- What role does PheWAS play in this study?