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?
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