UnknownNot Applicable

Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)

Switzerland10,000 participantsStarted 2023-01-05

Plain-language summary

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

Who can participate

Age range18 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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.

What they're measuring

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]

Trial details

NCT IDNCT05710913

SponsorDr. Med Anas Taha

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2025-12-31

Contact for this trial

Anas Taha, MD

0041612075402 anas.taha@unibas.ch

View on ClinicalTrials.gov More Body Weight trials