Open AccessSimplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease
Author(s) -
Nghia Nguyen,
Sagar Patel,
Jason Gabunilas,
Alexander S. Qian,
Alan Cecil,
Vipul Jairath,
William J. Sandborn,
Lucila Ohno-Machado,
Peter L Chen,
Siddharth Singh
Publication year - 2022
Publication title -
clinical and translational gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.673
H-Index - 35
ISSN - 2155-384X
DOI - 10.14309/ctg.0000000000000507
Subject(s) - medicine , logistic regression , inflammatory bowel disease , receiver operating characteristic , decision tree , retrospective cohort study , health care , decile , healthcare cost and utilization project , comorbidity , emergency medicine , machine learning , disease , statistics , computer science , mathematics , economics , economic growth