Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data-A Systematic Review and Assessment.

Journal: The American journal of gastroenterology
Published Date: May 16, 2024

Abstract

INTRODUCTION: Accurate risk prediction can facilitate screening and early detection of pancreatic cancer (PC). We conducted a systematic review to critically evaluate effectiveness of machine learning (ML) and artificial intelligence (AI) techniques applied to electronic health records (EHR) for PC risk prediction.

Authors

  • Anup Kumar Mishra
  • Bradford Chong
    Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
  • Shivaram P Arunachalam
    Mayo Clinic Rochester, MN.
  • Ann L Oberg
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Shounak Majumder
    Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.

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