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

Document types check

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/54641

Title:	Clinical characteristics and prognostic factors for Crohn's disease relapses using natural language processing and machine learning: a pilot study
Authors:	Gomollón, Fernando Gisbert, Javier Pérez Guerra, Ivan 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 View more
Filiation:	Servicio de Digestivo. Hospital Universitario de Fuenlabrada
Mesh:	Humans Machine Learning Natural Language Processing Pilot Projects Prognosis Recurrence Retrospective Studies Biological Products Crohn Disease View more
Decs:	Aprendizaje Automático Enfermedad de Crohn Productos Biológicos Recurrencia Pronóstico Procesamiento de Lenguaje Natural View more
Issue Date:	2022
Citation:	Gomollón F, Gisbert JP, Guerra Marina I, Plaza R, Pajares Villarroya R, Moreno Almazán L, et al. Clinical characteristics and prognostic factors for Crohn's disease relapses using natural language processing and machine learning: a pilot study. Eur J Gastroenterol Hepatol. 2022;34(4):389-97.
PMID:	34882644
URI:	https://hdl.handle.net/20.500.12530/54641
Rights:	info:eu-repo/semantics/openAccess
Appears in Collections:	Hospitales > H. U. de Fuenlabrada > Artículos

Files in This Item:

File	Description	Size	Format
Eur J Gastroenterol Hepatol.pdf		383.83 kB	Adobe PDF	View/Open

This item is licensed under a Creative Commons License