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

January 25, 2023 updated by: Dr. Med Anas Taha

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

Study Overview

Study Type

Observational

Enrollment (Anticipated)

10000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Basel, Switzerland
        • Recruiting
        • University of Basel - Department of Biomedical Engineering

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients undergoing bariatric surgery

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Complication after surgery
Time Frame: [Time Frame: From index surgery up to 3 months postoperatively]
[Time Frame: From index surgery up to 3 months postoperatively]
Body mass Index (KG/m2) after surgery
Time Frame: [Time Frame: From index surgery up to 1 year postoperatively]
[Time Frame: From index surgery up to 1 year postoperatively]
Diabetes mellitus type II remission rate postoperatively
Time Frame: [Time Frame: From index surgery up to 2 year postoperatively]
[Time Frame: From index surgery up to 2 year postoperatively]

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

January 5, 2023

Primary Completion (ANTICIPATED)

December 31, 2025

Study Completion (ANTICIPATED)

December 31, 2025

Study Registration Dates

First Submitted

January 15, 2023

First Submitted That Met QC Criteria

January 25, 2023

First Posted (ACTUAL)

February 2, 2023

Study Record Updates

Last Update Posted (ACTUAL)

February 2, 2023

Last Update Submitted That Met QC Criteria

January 25, 2023

Last Verified

January 1, 2023

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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