Can natural language processing help differentiate inflammatory intestinal diseases in China? Models applying random forest and convolutional neural network approaches

BACKGROUND: Differentiating between ulcerative colitis (UC), Crohn’s disease (CD) and intestinal tuberculosis (ITB) using endoscopy is challenging. We aimed to realize automatic differential diagnosis among these diseases through machine learning algorithms. METHODS: A total of 6399 consecutive pati...

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Detalles Bibliográficos
Autores principales: Tong, Yuanren, Lu, Keming, Yang, Yingyun, Li, Ji, Lin, Yucong, Wu, Dong, Yang, Aiming, Li, Yue, Yu, Sheng, Qian, Jiaming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526202/
https://www.ncbi.nlm.nih.gov/pubmed/32993636
http://dx.doi.org/10.1186/s12911-020-01277-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526202/
https://www.ncbi.nlm.nih.gov/pubmed/32993636
http://dx.doi.org/10.1186/s12911-020-01277-w

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