2018 № 1 Intelligent decision supports system in prediction of difficult tracheal intubation
The article presents the results of developing an intellectual decision support system for predicting the risk of difficult tracheal intubation. It’s described the principles of an artificial neural network’s construction and training, on the basis of which it was created a model of a classifier implemented as a computer application. It’s estimated the relevance of the created program as the high effective, convenient and trained
2017 № 1 Expert systems in the prediction of operational risk for the most common surgical interventions (review).
The review is focused on the applications of medical expert systems in abdominal surgery. Reviewed and described existing models of decision support systems for medical decisions in patients with such common diseases as acute pancreatitis, acute cholecystitis, complicated peptic ulcer disease. The authors conducted a comparative analysis of modern expert systems and described the basic principles of their construction