Brayan Montoya Rodriguez
Machine learning analysis for bowel urgency in ulcerative colitis patients from IBD Tool web application.
Rel. Carla Fabiana Chiasserini, Guido Pagana. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2024
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Abstract
This thesis focuses on the analysis of bowel urgency, a common and highly problematic symptom associated with inflammatory bowel diseases (IBD). Bowel urgency is characterized by a sudden need to have a bowel movement, which can range in severity from a mild hurry to complete incontinence. This symptom significantly impacts the quality of life and daily activities of individuals suffering from IBD. The IBD Tool, a telemedicine web application platform developed in collaboration between LINKS and the Mauriziano Hospital in Turin, aims to assist in remotely monitoring patients diagnosed with IBD. The core functionality of the IBD Tool is to deliver a set of questionnaires, designed by the international medical community, to gather information about the impact and symptoms of IBD.
This thesis specifically focuses on patients with ulcerative colitis (UC), one of the most common types of IBD alongside Crohn's disease
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