The Use of Readily Available Longitudinal Data to Predict the Likelihood of Surgery in Crohn Disease

Abstract

Although imaging, endoscopy, and inflammatory biomarkers are associated with future Crohn disease (CD) outcomes, common laboratory studies may also provide prognostic opportunities. We evaluated machine learning models incorporating routinely collected laboratory studies to predict surgical outcomes in U.S. Veterans with CD.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 26, 2021
Source ID
10.1093/ibd/izab035

Entities

People

  • Akbar K Waljee
  • Binu Enchakalody
  • Grace L Su
  • Ji Zhu
  • Ryan W Stidham
  • Tony Van
  • Venkataramu Krishnamurthy
  • Yumu Liu

Organizations

  • Department of Surgery
  • Michigan Medicine
  • National Institutes of Health
  • United States Department of Defense
  • United States Department of Veterans Affairs
  • University of Michigan
  • Veterans Health Administration

Tags

Fields of Study

  • Medicine

Readers

  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Neural Network Machine Learning.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks