Pediatric Surgical Risk análises de aplicativos para 11 de outubro

This tool uses advanced machine learning techniques combined with clinical expertise to predict mortality and morbidity outcomes for all classes of pediatric surgeries. The model was trained with over 300k surgery records across dozens of hospitals from the NSQIP database.