A Machine Learning Model Accurately Predicts Ulcerative Colitis Activity at One Year in Patients Treated with Anti-Tumour Necrosis Factor α Agents

A Machine Learning Model Accurately Predicts Ulcerative Colitis Activity at One Year in Patients Treated with Anti-Tumour Necrosis Factor α Agents

<i>Background and objectives:</i> The biological treatment is a promising therapeutic option for ulcerative colitis (UC) patients, being able to induce subclinical and long-term remission. However, the relatively high costs and the potential toxicity have led to intense debates over the...

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Bibliographic Details
Main Authors: Iolanda Valentina Popa, Alexandru Burlacu, Catalina Mihai, Cristina Cijevschi Prelipcean
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Medicina
Subjects:
inflammatory bowel diseases
artificial intelligence
biological therapy
predictive model
disease activity
Online Access:https://www.mdpi.com/1010-660X/56/11/628

Internet

https://www.mdpi.com/1010-660X/56/11/628

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