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.
Medical decision support systems