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

Journal: Inflammatory bowel diseases
PMID: 33769477

Abstract

BACKGROUND: 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.

Authors

  • Ryan W Stidham
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Yumu Liu
    Department of Statistics, University of Michigan, Ann Arbor.
  • Binu Enchakalody
    Department of Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
  • Tony Van
    VA Ann Arbor Health Services Research and Development Center of Clinical Management Research, Ann Arbor, Michigan, United States of America.
  • Venkataramu Krishnamurthy
    Department of Radiology, VA Ann Arbor Medical Center, Ann Arbor, Michigan, USA.
  • Grace L Su
    Michigan Medicine, Department of Internal Medicine, Division of Gastroenterology and Hepatology, Ann Arbor, Michigan, United States of America.
  • Ji Zhu
    Department of Statistics, University of Michigan, Ann Arbor, Michigan.
  • Akbar K Waljee
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.

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