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

NCT05710913 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2023-02-02

No results posted yet for this study

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

Conditions

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

Sponsors & Collaborators

  • University of Basel

    collaborator OTHER

  • GZO Hospital, Zürich, Switzerland

    collaborator UNKNOWN

  • Dr. Med Anas Taha

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-01-05
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • Switzerland

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05710913 on ClinicalTrials.gov