UC MRE Activity Risk Stratifier

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Authors: Mahshad Sarikhani
Cited by: 0

Abstract

A Streamlit research prototype that converts segment-level UC MR enterography features and a patient-level fecal calprotectin into a marginal new-patient probability of clinically active disease (Mayo endoscopic subscore >= 2) using a Bayesian ordinal logistic regression model. Reports a posterior median with a 95% credible interval and a three-tier triage output. Model parameters are loaded from a versioned artifact produced by the analysis notebook.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 June 2026