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

Status: Recruiting
Location: See location...
Study Type: Observational
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

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Patients undergoing bariatric surgery

• Patients \>18 years

Locations
Other Locations
Switzerland
University of Basel - Department of Biomedical Engineering
RECRUITING
Basel
Contact Information
Primary
Anas Taha, MD
anas.taha@unibas.ch
0041612075402
Backup
Bassey Enodien, MD
Bassey.enodien@gzo.ch
Time Frame
Start Date: 2023-01-05
Estimated Completion Date: 2025-12-31
Participants
Target number of participants: 10000
Sponsors
Leads: Dr. Med Anas Taha
Collaborators: GZO Hospital, Zürich, Switzerland, University of Basel

This content was sourced from clinicaltrials.gov