| Issue |
BIO Web Conf.
Volume 71, 2023
II International Conference on Current Issues of Breeding, Technology and Processing of Agricultural Crops, and Environment (CIBTA-II-2023)
|
|
|---|---|---|
| Article Number | 01073 | |
| Number of page(s) | 9 | |
| Section | Issues of Sustainable Development of Agriculture | |
| DOI | https://doi.org/10.1051/bioconf/20237101073 | |
| Published online | 07 November 2023 | |
Expert systems for diagnostics of infectious diseases in cattle
1 Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, National Research University, Tashkent, 100000, Uzbekistan
2 Samarkand State University of Veterinary Medicine, Livestock and Biotechnologies, Samarkand, 140103, Uzbekistan
* Corresponding author: lola.safarova.81@inbox.ru
Expert systems designed to identify diseases in cattle may use a variety of sources of information such as clinical data, signs of disease, medical history, laboratory results, environmental exposure and other relevant factors. They can be developed based on rules, heuristics, or machine learning, using a large amount of data to train the model. The expert system may provide the veterinarian with a list of possible diagnoses, ranked by probability, based on the data provided. She may also recommend further investigations or tests for a more accurate diagnosis. The developed expert system for veterinary medicine provides a wide range of functions and capabilities to support the work of veterinarians and processing data on the incidence of cattle.
© The Authors, published by EDP Sciences, 2023
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