Machine Learning Classification of Inflammatory Bowel Disease in Children Based on a Large Real-World Pediatric Cohort CEDATA-GPGE® Registry

Introduction: The rising incidence of pediatric inflammatory bowel diseases (PIBD) facilitates the need for new methods of improving diagnosis latency, quality of care and documentation. Machine learning models have shown to be applicable to classifying PIBD when using histological data or extensive...

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Detalles Bibliográficos
Publicado en:Front Med (Lausanne)
Main Authors: Schneider, Nicolas, Sohrabi, Keywan, Schneider, Henning, Zimmer, Klaus-Peter, Fischer, Patrick, de Laffolie, Jan
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2021
Assuntos:
Medicine
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC8180568/
https://ncbi.nlm.nih.gov/pubmed/34109197
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmed.2021.666190
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