Predicting Hospitalization and Outpatient Corticosteroid Use in Inflammatory Bowel Disease Patients Using Machine Learning.

Journal: Inflammatory bowel diseases
PMID: 29272474

Abstract

BACKGROUND: Inflammatory bowel disease (IBD) is a chronic disease characterized by unpredictable episodes of flares and periods of remission. Tools that accurately predict disease course would substantially aid therapeutic decision-making. This study aims to construct a model that accurately predicts the combined end point of outpatient corticosteroid use and hospitalizations as a surrogate for IBD flare.

Authors

  • Akbar K Waljee
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
  • Rachel Lipson
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
  • Wyndy L Wiitala
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
  • Yiwei Zhang
    College of Chemical Engineering, Nanjing Forestry University Nanjing 210037 China njfu2304@163.com +86-25-85427396.
  • Boang Liu
    Department of Statistics, University of Michigan, Ann Arbor, Michigan.
  • Ji Zhu
    Department of Statistics, University of Michigan, Ann Arbor, Michigan.
  • Beth Wallace
    Division of Rheumatology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan.
  • Shail M Govani
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan.
  • Ryan W Stidham
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
  • Rodney Hayward
    VA Center for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
  • Peter D R Higgins
    Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, Michigan.

Keywords

External Resources

Popular Topics
Recent Journals