Applying machine learning techniques to identify undiagnosed patients with exocrine pancreatic insufficiency

  • Print
  • Connect
  • Email
  • Facebook
  • Twitter
  • LinkedIn
  • Google+
By Feng Han, Jaime Vora, Jeffrey Gomberg, Monica Son, Motoharu Dei, Nikhil Khandelwal, Bruce S. Pyenson, Maggie Alston | 14 February 2019

Exocrine pancreatic insufficiency (EPI) is a serious condition characterized by a lack of functional exocrine pancreatic enzymes and the resultant inability to properly digest fats, carbohydrates, and proteins. Although an early and accurate diagnosis of EPI is critically important to optimize patient outcomes, the condition remains underdiagnosed. This study develops a machine learning model that identifies patients in a commercial medical claims database who likely have EPI but are underdiagnosed.

This report was commissioned by AbbVie.

Authors