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Prediction of outcome of treatment of acute severe ulcerative colitis using principal component analysis and artificial intelligence
BACKGROUND AND AIM: About 15% patients with acute severe ulcerative colitis (UC) fail to respond to medical treatment and may require colectomy. An early prediction of response may help the treating team and the patients and their family to prepare for alternative treatment options. METHODS: Data of...
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| Опубликовано в: : | JGH Open |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley Publishing Asia Pty Ltd
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7578272/ https://ncbi.nlm.nih.gov/pubmed/33102760 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jgh3.12342 |
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