Machine learnINg for the rElapse Risk eValuation in Acute biliary pancreatitis
The MINERVA project aims to develop a predictive score to assess the risk of hospital readmission for patients diagnosed with mild biliary acute pancreatitis using machine learning and artificial intelligence.
The MINERVA score will be free and will provide an immediate and reliable result that can be a clear indication for the best treatment pathway for the clinician and for the patient.
The MINERVA score is predicted by neural networks.
The MINERVA project travels outside the boundaries of Italy