Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
NCT ID: NCT05710913
Last Updated: 2023-02-02
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
10000 participants
OBSERVATIONAL
2023-01-05
2025-12-31
Brief Summary
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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
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Patients \>18 years
Exclusion Criteria
* 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.
18 Years
ALL
No
Sponsors
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University of Basel
OTHER
GZO Hospital, Zürich, Switzerland
UNKNOWN
Dr. Med Anas Taha
OTHER
Responsible Party
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Dr. Med Anas Taha
Research Fellow
Locations
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University of Basel - Department of Biomedical Engineering
Basel, , Switzerland
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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CABS
Identifier Type: -
Identifier Source: org_study_id
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