Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
Sponsor
Dr. Med Anas Taha (Other)
Overall Status
Recruiting
CT.gov ID
NCT05710913
Collaborator
University of Basel (Other), GZO Hospital, Zürich, Switzerland (Other)
10,000
1
35.8
279
Study Details
Study Description
Brief 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
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Study Design
Study Type:
Observational
Anticipated Enrollment
:
10000 participants
Observational Model:
Cohort
Time Perspective:
Retrospective
Official Title:
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
Actual Study Start Date
:
Jan 5, 2023
Anticipated Primary Completion Date
:
Dec 31, 2025
Anticipated Study Completion Date
:
Dec 31, 2025
Outcome Measures
Primary Outcome Measures
- Complication after surgery [[Time Frame: From index surgery up to 3 months postoperatively]]
- Body mass Index (KG/m2) after surgery [[Time Frame: From index surgery up to 1 year postoperatively]]
- Diabetes mellitus type II remission rate postoperatively [[Time Frame: From index surgery up to 2 year postoperatively]]
Eligibility Criteria
Criteria
Ages Eligible for Study:
18 Years
and Older
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
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.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | University of Basel - Department of Biomedical Engineering | Basel | Switzerland |
Sponsors and Collaborators
- Dr. Med Anas Taha
- University of Basel
- GZO Hospital, Zürich, Switzerland
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
None provided.Responsible Party:
Dr. Med Anas Taha,
Research Fellow,
University of Basel
ClinicalTrials.gov Identifier:
NCT05710913
Other Study ID Numbers:
- CABS
First Posted:
Feb 2, 2023
Last Update Posted:
Feb 2, 2023
Last Verified:
Jan 1, 2023
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Dr. Med Anas Taha,
Research Fellow,
University of Basel
Additional relevant MeSH terms: