Development of Time-Aggregated Machine Learning Model for Relapse Prediction in Pediatric Crohn's Disease
We developed a time-aggregated model to predict pediatric CD relapse in multiple TPs and TWs. This model identified important variables that predicted relapse in pediatric CD to support real-time clinical decision making.
Authors
- Hyeji Lim (ORCID: https://orcid.org/0000-0001-7860-4574)
- Sowon Park (ORCID: https://orcid.org/0000-0002-2498-8004)
- Yu Rang Park (ORCID: https://orcid.org/0000-0002-4210-2094)
- Junlei Yu
- Sooyoung Jang (ORCID: https://orcid.org/0000-0003-0746-0635)
- Hong Koh (ORCID: https://orcid.org/0000-0002-3660-7483)
Institutions
- Hallym University (KR)
- Yonsei University (KR)
- Hallym Polytechnic University (KR)
- Severance Hospital (KR)
Publication Details
- Journal
- Clinical and Translational Gastroenterology
- Published
- 2024-11-21
- DOI
- https://doi.org/10.14309/ctg.0000000000000794
- Citations
- 2
- Primary Topic
- Inflammatory Bowel Disease
- Type
- article
- Field-Weighted Citation Impact
- 1.10
Funders
- Yonsei University
- Yonsei University College of Medicine