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

Dr. Med Anas Taha

Status: Enrolling

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

Study type: Observational

Funder types: Other

Identifiers

NCT05710913

CABS

Details and patient eligibility

About

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

Enrollment: 10,000 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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.