Back to search

Article

Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversity

2026-05-22

Abstract excerpt

Microbiome-based machine learning classifiers show increasing promise for disease identification across gastrointestinal, metabolic, and immune-mediated conditions. Inflammatory bowel disease (IBD), a chronic immune-mediated disorder associated with disruption of the gut microbiome, has been a particularly successful application area. However, while many predictive models achieve high performance within individual...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
1cb095e1-0ca6-59b2-95f9-975e55b8dbe4
DOI
10.64898/2026.05.21.727052
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversityDOI 10.64898/2026.05.21.727052
Select a neighboring publication to make it the new centre.