This Study aims to develop machine learning models with the ability to predict patients' BMI and complications after Bariatric Surgery (CABS-Score). This Study also aims to develop machine learning models with the ability to predict diabetic (DM II)patients' remission rate after Bariatric Surgery. The service mentioned above will be publicly available as a web-based application
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
Complication after surgery
Timeframe: [Time Frame: From index surgery up to 3 months postoperatively]
Body mass Index (KG/m2) after surgery
Timeframe: [Time Frame: From index surgery up to 1 year postoperatively]
Diabetes mellitus type II remission rate postoperatively
Timeframe: [Time Frame: From index surgery up to 2 year postoperatively]