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...

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Detalles Bibliográficos
Autores principales: Con, Danny, van Langenberg, Daniel R, Vasudevan, Abhinav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2021
Materias:
Observational Study
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

Internet

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

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