Clinical characteristics and prognostic factors for Crohn’s disease relapses using natural language processing and machine learning: a pilot study

The impact of relapses on disease burden in Crohn’s disease (CD) warrants searching for predictive factors to anticipate relapses. This requires analysis of large datasets, including elusive free-text annotations from electronic health records. This study aims to describe clinical characteristics an...

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Detalles Bibliográficos
Autores principales: Gomollón, Fernando, Gisbert, Javier P., Guerra, Iván, Plaza, Rocío, Pajares Villarroya, Ramón, Moreno Almazán, Luis, López Martín, Mª Carmen, Domínguez Antonaya, Mercedes, Vera Mendoza, María Isabel, Aparicio, Jesús, Martínez, Vicente, Tagarro, Ignacio, Fernández-Nistal, Alonso, Lumbreras, Sara, Maté, Claudia, Montoto, Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams And Wilkins 2021
Materias:
Original Articles: Gastroenterology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876385/
https://www.ncbi.nlm.nih.gov/pubmed/34882644
http://dx.doi.org/10.1097/MEG.0000000000002317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8876385/
https://www.ncbi.nlm.nih.gov/pubmed/34882644
http://dx.doi.org/10.1097/MEG.0000000000002317

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