Development and validation of machine learning models to predict the need for haemostatic therapy in acute upper gastrointestinal bleeding
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Background: Acute upper gastrointestinal bleeding (AUGIB) is a major cause of morbidity and mortality. This presentation however is not universally high risk as only 20-30% of bleeds require urgent haemostatic therapy. Neverthele... ...