Development of Machine Learning Models for the Prediction of BMI and Complications After Bariatric Surgery (CABS-Study)
This research project in the United States aims to develop machine learning models that predict patients’ BMI and complications following bariatric surgery, forming the CABS-Score. It also seeks to predict remission rates for diabetic (DM II) patients after surgery. The resulting models will be made publicly available through a web-based application.
This research project in the United States aims to develop machine learning models that predict patients’ BMI and complications following bariatric surgery, forming the CABS-Score. It also seeks to predict remission rates for diabetic (DM II) patients after surgery. The resulting models will be made publicly available through a web-based application.
Swiss AI can apply these predictive models to enhance patient care and surgical planning within the Swiss healthcare system.
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