Cl-Pharm-IBS-ML-2026

Sponsor: Tanta University
Study ID: NCT07809646
Status: Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex: ALL
Age: 18 Years - 65 Years
Healthy Volunteers: Not accepted

Interventions

Questionnaire and Physical Exam — OTHER
ONLINE QUESTIONNAIRE

Study Details

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.

Key Dates

First listed: Sep 9, 2026
Start date: Sep 20, 2026
Status verified: Sep 2026
Primary completion: Jan 1, 2027
Completion: Jan 1, 2027

Study Design

Enrollment: 500 participants (estimated)

Primary Outcome Measure

Distinct patient subgroups (phenotypes) identified through unsupervised machine learning clustering algorithms. [ Time Frame: At the time of questionnaire completion (Baseline) ]