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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...
Autores principales: | Weng, Futian, Meng, Yu, Lu, Fanggen, Wang, Yuying, Wang, Weiwei, Xu, Long, Cheng, Dongsheng, Zhu, Jianping |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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