Abstract
The systematic collection and organization of routine medical care data, together with data mining techniques, offer a rich environment for valuable, large-scale observational studies. We report on one such study in the context of bariatric surgery, where we build predictive models for surgical procedure selection and overall success of surgery. We suggest that observational studies supported by predictive informatics may usefully complement classical clinical trials in medical research.
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