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NCT05710913
Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
Conditions: Body Weight, Post-Op Complication, Anastomosis, Leaking, Hiatal Hernia, GERD, Internal Hernia, Mesenteric Hernia, Intussusception, Diabetes Mellitus, Type 2, Sleep Apnea, Obstructive
Sex: All
Ages: 18 Years – N/A
Enrollment: 10000
Sponsor: Dr. Med Anas Taha
Location: Switzerland
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
Eligibility Criteria
Inclusion Criteria:Patients undergoing bariatric surgeryPatients >18 yearsExclusion Criteria:Patients <18 yearsPatients who cannot be followed up on for more than 6 month after surgeryPatients who are unable to provide informed approval to participate according to each centre's rules will be excluded.
Source: ClinicalTrials.gov (NCT05710913). StuddyBuddy aggregates publicly available trial information.
