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Deep learning vs conventional learning algorithms for clinical prediction in Crohn's disease: A proof-of-concept study
BACKGROUND: Traditional methods of developing predictive models in inflammatory bowel diseases (IBD) rely on using statistical regression approaches to deriving clinical scores such as the Crohn's disease (CD) activity index. However, traditional approaches are unable to take advantage of more...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Baishideng Publishing Group Inc
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8517788/ https://www.ncbi.nlm.nih.gov/pubmed/34720536 http://dx.doi.org/10.3748/wjg.v27.i38.6476 |