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

2020-09-30

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> 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. <bold>Methods: </bold>A total of 6399 consecutive patients (5128 UC, 875 CD and 396 ITB) who had undergone colonoscop...

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Literature Corpus work: 06408eec-2902-59d0-b347-e0f5edf5caa4
DOI: 10.21203/rs.3.rs-39653/v3

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