Replicating prediction algorithms for hospitalization and corticosteroid use in patients with inflammatory bowel disease.
Ryan W GanDiana SunAmanda R TatroShirley Cohen-MekelburgWyndy L WiitalaJi ZhuAkbar K WaljeePublished in: PloS one (2021)
The machine learning modeling framework was replicated and results showed a similar predictive accuracy in a nationally representative cohort of IBD patients. This modeling framework could be embedded in routine practice as a tool to distinguish high-risk patients for disease activity.
Keyphrases
- machine learning
- end stage renal disease
- disease activity
- ejection fraction
- newly diagnosed
- rheumatoid arthritis
- chronic kidney disease
- systemic lupus erythematosus
- peritoneal dialysis
- healthcare
- primary care
- prognostic factors
- patients with inflammatory bowel disease
- ankylosing spondylitis
- patient reported
- clinical practice
- juvenile idiopathic arthritis