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

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

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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

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 details
    Body Weight
    Post-Op Complication
    Anastomosis
    Leaking
    Hiatal Hernia
    GERD
    Internal Hernia
    Mesenteric Hernia
    Intussusception
    Diabetes Mellitus
    Type 2
    Sleep Apnea
    Obstructive

NCT05710913

Dr. Med Anas Taha

26 January 2024

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