Predicting BMI and complications after bariatric surgery using machine learning
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
University of Basel · NCT05710913
This study is testing a new online tool that uses machine learning to help predict body weight changes and possible complications for adults having bariatric surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 10000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University of Basel (other) |
| Locations | 1 site (Basel) |
| Trial ID | NCT05710913 on ClinicalTrials.gov |
What this trial studies
This study aims to develop machine learning models that can predict patients' body mass index (BMI) and potential complications following bariatric surgery. It will also focus on predicting the remission rates of diabetic patients after the procedure. The models will be accessible through a web-based application, providing valuable insights for both patients and healthcare providers. The study will involve patients over 18 years old who are undergoing bariatric surgery and will track their outcomes for more than six months post-surgery.
Who should consider this trial
Good fit: Ideal candidates for this study are adults over 18 years old who are scheduled to undergo bariatric surgery.
Not a fit: Patients under 18 years old or those unable to provide informed consent will not benefit from this study.
Why it matters
Potential benefit: If successful, this could help patients and doctors make informed decisions about bariatric surgery and improve post-operative outcomes.
How similar studies have performed: Other studies have shown promise in using machine learning for predicting surgical outcomes, making this approach both relevant and potentially impactful.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients undergoing bariatric surgery * Patients \>18 years Exclusion Criteria: * Patients \<18 years * Patients who cannot be followed up on for more than 6 month after surgery * Patients who are unable to provide informed approval to participate according to each centre's rules will be excluded.
Where this trial is running
Basel
- University of Basel - Department of Biomedical Engineering — Basel, Switzerland (RECRUITING)
Study contacts
- Study coordinator: Anas Taha, MD
- Email: anas.taha@unibas.ch
- Phone: 0041612075402
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Body Weight, Post-Op Complication, Anastomosis, Leaking, Hiatal Hernia, GERD, Internal Hernia, Mesenteric Hernia, Intussusception