Predictive models for endoscopic disease activity in patients with ulcerative colitis: Practical machine learning-based modeling and interpretation

BACKGROUND: Endoscopic disease activity monitoring is important for the long-term management of patients with ulcerative colitis (UC), there is currently no widely accepted non-invasive method that can effectively predict endoscopic disease activity. We aimed to develop and validate machine learning...

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Detalles Bibliográficos
Autores principales: Li, Xiaojun, Yan, Lamei, Wang, Xuehong, Ouyang, Chunhui, Wang, Chunlian, Chao, Jun, Zhang, Jie, Lian, Guanghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810755/
https://www.ncbi.nlm.nih.gov/pubmed/36619650
http://dx.doi.org/10.3389/fmed.2022.1043412

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810755/
https://www.ncbi.nlm.nih.gov/pubmed/36619650
http://dx.doi.org/10.3389/fmed.2022.1043412

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