2016 № 5 Results of the expert systems comparison for diagnostics of acute pharyngeal diseases.
The description of the development of expert system (ES) of differential diagnostics of acute pharyngeal diseases based on different mathematical algorithms; «Portrait method», «Naiv Bayes classificator» (NBC), «Artificial Neuron Nets» (ANN) is presented in this article. Randonization of 476 of completed clinical cases with acute pharyngeal diseases, paratonsilitis, parapharyngitis, acute tonsillitis, acute pharyngitis is used. The technology of ES development is described. The clinical evaluation showed that ES based on «Portrait method» gives wrong diagnoses for whole list of diagnosed diseases by 8.40%. ES checking based on NBC in the clinical practice revealed differences in diagnoses in 47,6% of cases but developed ES «Program using for differential diagnosis of acute pharyngeal diseases «LOR-Neuro» showed high clinical efficiency in 96% of cases.
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
2017 № 3 Portrait method as technology for development of decision making systems for diagnostics and differential diagnostics in clinical practice
Among the various technologies for the development of expert systems, the portrait method, originally pro- posed by E.V. Gubler. The authors have long used a portrait method for formalizing medical information when creating expert systems for diagnosis and differential diagnosis of diseases. When forming the knowledge base, the clinico-log- ical, expert and clinical-expert approach in the formation of a portrait of the disease is used. This article is enlightened on the description of the methodology for applying the portrait method in the development of expert systems. The features of forming the knowledge base and the algorithm of the solver work are considered