Abstract
This paper is a systematic review of literature covering the use of decision support systems in the diagnosis and treatment of acute pancreatitis. The authors provide modern literature data on the efficacy of different support systems for decision-making based on artificial neural networks to determine the severity of acute pancreatitis outcomes, prognosis and diagnosis of infected pancreatic necrosis.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
