Differentiation of intestinal tuberculosis and Crohn’s disease through an explainable machine learning method

Differentiation between Crohn’s disease and intestinal tuberculosis is difficult but crucial for medical decisions. This study aims to develop an effective framework to distinguish these two diseases through an explainable machine learning (ML) model. After feature selection, a total of nine variabl...

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Detalles Bibliográficos
Autores principales: Weng, Futian, Meng, Yu, Lu, Fanggen, Wang, Yuying, Wang, Weiwei, Xu, Long, Cheng, Dongsheng, Zhu, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810833/
https://www.ncbi.nlm.nih.gov/pubmed/35110611
http://dx.doi.org/10.1038/s41598-022-05571-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8810833/
https://www.ncbi.nlm.nih.gov/pubmed/35110611
http://dx.doi.org/10.1038/s41598-022-05571-7

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