Machine learning prediction of premature death from multimorbidity among people with inflammatory bowel disease: a population-based retrospective cohort study
By comparing results from multiple approaches modelling the impact of chronic conditions on premature death among people with IBD, we showed that conditions developed early in life (age ≤ 60 yr) and their age of onset were important for predicting their health trajectory. Clinically, our findings emphasize the need for models of care that ensure people with IBD have access to high-quality, multidisciplinary health care.
Authors
- Ijeoma Uchenna Itanyi (ORCID: https://orcid.org/0000-0002-4958-6319)
- Emmalin Buajitti (ORCID: https://orcid.org/0000-0002-3194-7331)
- M Ellen Kuenzig (ORCID: https://orcid.org/0000-0002-3984-8426)
- Vinyas Harish (ORCID: https://orcid.org/0000-0001-6364-2439)
- Eric I. Benchimol (ORCID: https://orcid.org/0000-0001-8855-3598)
- Furong Tang (ORCID: https://orcid.org/0000-0001-7546-7500)
- Laura C. Rosella (ORCID: https://orcid.org/0000-0003-4867-869X)
- Gemma Postill (ORCID: https://orcid.org/0000-0001-6185-995X)
Institutions
- University of Toronto (CA)
- SickKids Foundation (CA)
Publication Details
- Journal
- Canadian Medical Association Journal
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1503/cmaj.241117
- Citations
- 2
- Primary Topic
- Chronic Disease Management Strategies
- Type
- article
- Field-Weighted Citation Impact
- 2.71