Identifying predictors of clinical outcomes using the projection-predictive feature selection—a proof of concept on the example of Crohn’s disease

Identifying predictors of clinical outcomes using the projection-predictive feature selection—a proof of concept on the example of Crohn’s disease

ObjectivesSeveral clinical disease activity indices (DAIs) have been developed to noninvasively assess mucosal healing in pediatric Crohn’s disease (CD). However, their clinical application can be complex. Therefore, we present a new way to identify the most informative biomarkers for mucosal inflam...

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Bibliographic Details
Main Authors: Elisa Wirthgen, Frank Weber, Laura Kubickova-Weber, Benjamin Schiller, Sarah Schiller, Michael Radke, Jan Däbritz
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Pediatrics
Subjects:
inflammatory bowel disease
endoscopy
calprotectin
C-reactive protein
monitoring
Bayesian
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2023.1170563/full

Internet

https://www.frontiersin.org/articles/10.3389/fped.2023.1170563/full

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