NCT05710913

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 10,000 (estimated)
• Sponsor: Dr. Med Anas Taha · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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

Conditions

• Body Weight
• Post-Op Complication
• Anastomosis, Leaking
• Hiatal Hernia
• GERD
• Internal Hernia
• Mesenteric Hernia
• Intussusception
• Diabetes Mellitus, Type 2
• Sleep Apnea, Obstructive

Timeline

• Start date: 2023-01-05
• Primary completion: 2025-12-31
• Completion: 2025-12-31
• First posted: 2023-02-02
• Last updated: 2023-02-02

Locations

1 site across 1 country: Switzerland