The Role of Genetic Factors in Characterizing Extra-Intestinal Manifestations in Crohn’s Disease Patients: Are Bayesian Machine Learning Methods Improving Outcome Predictions?

(1) Background: The high heterogeneity of inflammatory bowel disease (IBD) makes the study of this condition challenging. In subjects affected by Crohn’s disease (CD), extra-intestinal manifestations (EIMs) have a remarkable potential impact on health status. Increasing numbers of patient characteri...

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Detalles Bibliográficos
Autores principales: Bottigliengo, Daniele, Berchialla, Paola, Lanera, Corrado, Azzolina, Danila, Lorenzoni, Giulia, Martinato, Matteo, Giachino, Daniela, Baldi, Ileana, Gregori, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617350/
https://www.ncbi.nlm.nih.gov/pubmed/31212952
http://dx.doi.org/10.3390/jcm8060865

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617350/
https://www.ncbi.nlm.nih.gov/pubmed/31212952
http://dx.doi.org/10.3390/jcm8060865

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