Application of intelligent methods for diagnosing animal diseases based on determining the structures of blood facies

The intensive development of computer technologies, the growing importance of the problems of intellectualization and decision-making determine the need for software tools that make it possible to increase the efficiency of laboratory diagnostics in veterinary medicine. An analysis of the structure of the solid phase of biological fluids (facies) is proposed as a universal method for assessing the state of homeostasis of an organism. The paper highlights the problem of diagnosing animal diseases based on the determination of indicators of the structures of blood facies, substantiates the relevance of using neural networks to recognize the obtained images of blood facies, presents the main methods of an intelligent information system for diagnosing animal diseases.