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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/54571
Title: Evaluation of natural language processing for the identification of Crohn disease-related variables in Spanish electronic health records: A validation study for the PREMONITION-CD project
Authors: 
Montoto, Carmen
Gisbert, Javier Pérez
Plaza, Rocío
Pajares Villarroya, Ramón
Moreno Almazán, Luis
López Martín, María Del Carmen
Domínguez Antonaya, Mercedes
Vera Mendoza, Isabel
Aparicio, Jesús
Martínez, Vicente
Tagarro, Ignacio
Fernández-Nistal, Alonso
Canales, Lea
Menke, Sebastian
Gomollón, Fernando
Guerra, Ivan
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Filiation: Servicio de Digestivo. Hospital Universitario de Fuenlabrada
Keywords: 
Crohn disease
artificial intelligence
electronic health records
inflammatory bowel disease
linguistic validation
natural language processing
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Mesh: 
Crohn Disease
Natural Language Processing
Inflammatory Bowel Diseases
Electronic Health Records
Artificial Intelligence
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Decs: 
Enfermedad de Crohn
Procesamiento de Lenguaje Natural
Enfermedades Inflamatorias del Intestino
Registros Electrónicos de Salud
Inteligencia Artificial
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Issue Date: 2022
Citation: Montoto C, Gisbert JP, Guerra Marina I, Plaza R, Pajares Villarroya R, Moreno Almazán L, et al. Evaluation of natural language processing for the identification of Crohn disease-related variables in Spanish electronic health records: A validation study for the PREMONITION-CD project. JMIR Med Inform. 2022;10(2):e30345.
PMID: 35179507
URI: https://hdl.handle.net/20.500.12530/54571
Rights: info:eu-repo/semantics/openAccess
Appears in Collections:Hospitales > H. U. de Fuenlabrada > Artículos

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