Prediction of Extraintestinal Manifestations in Inflammatory Bowel Disease Using Clinical and Genetic Variables with Machine Learning in a Latin IBD Group.

doi:10.3390/ijms26125741

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Article

Prediction of Extraintestinal Manifestations in Inflammatory Bowel Disease Using Clinical and Genetic Variables with Machine Learning in a Latin IBD Group.

International journal of molecular sciences - 15 Jun 2025

Pérez-Jeldres Tamara, Reyes-Pérez Paula, Gonzalez-Hormazabal Patricio, Avendano Cristóbal, Segovia Melero Roberto, Azocar Lorena, Silva Veronica, De La Vega Andres, Arriagada Elizabeth, Hernandez Elisa, Aguilar Nataly, Pavez-Ovalle Carolina, Hernández-Rocha Cristian, Candia Roberto, Miquel Juan Francisco, Alvarez-Lobos Manuel, Valdes Ivania, Medina-Rivera Alejandra, Bustamante Maria Leonor

Abstract excerpt

Extraintestinal manifestations (EIMs) significantly increase morbidity in inflammatory bowel disease (IBD) patients. In this study, we examined clinical and genetic factors associated with EIMs in 414 Latin IBD patients, utilizing machine learning for predictive modeling. In our IBD group (314 ulcerative colitis (UC) and 100 Crohn's disease (CD) patients), EIM presence was assessed. Clinical differences between...

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Topics

Humans
Female
Male
Machine Learning

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Middle Aged

Adult

Inflammatory Bowel Diseases

Genetic Predisposition to Disease

Crohn Disease

Polymorphism, Single Nucleotide

Risk Factors

Colitis, Ulcerative

Source

Open in PubMed Open full text

Identifiers

PMID: 40565205
DOI: 10.3390/ijms26125741
PMCID: PMC12192962

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