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NCT05710913

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

Status unknown Last updated 2 February 2023
What this trial tests

trial in Body Weight in 10,000 participants. Status unknown.

Timeline
5 January 2023
Primary endpoint
31 December 2025
31 December 2025

Quick facts

Lead sponsorDr. Med Anas Taha
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment10,000
Start date5 January 2023
Primary completion31 December 2025
Estimated completion31 December 2025
Sites1 location across Switzerland

Conditions studied

Sponsor

Dr. Med Anas Taha

Who can join

18 and older, any sex, with Body Weight or Post-Op Complication. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Body Weight

Currently open trials in the same condition.

Other Dr. Med Anas Taha trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05710913.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing