Cl-Pharm-IBS-ML-2026
The purpose of this study is to identify distinct subgroups (phenotypes) of Irritable Bowel Syndrome (IBS) patients. While traditional IBS classification relies mainly on bowel habits, this research uses a multidimensional questionnaire to capture clinical symptoms, psychological factors, diet triggers, sleep quality, and digital behaviors. By applying advanced machine learning algorithms to these patient-reported outcomes, the study aims to uncover hidden patterns that can help customize future treatments and improve patient care.
Participants aged 18 years or older. [+3]
Presence of organic gastrointestinal diseases (e.g., Inflammatory Bowel Disease,... [+2]