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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams And Wilkins
2021
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Materias: | |
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 |
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