Development of the veterinary expert system

Natalia Aleksandrovna Staroverova, Dmitrii Andreevich Chmil, Ruslan Rustamovich Mukhamadiev
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Abstract

Veterinary medicine is an area where modern technology can have a significant impact. The application of expert systems in this field has not yet been fully explored. Expert systems can process large amounts of data, including symptoms, disease history and other parameters to provide accurate and rapid diagnoses. This is especially valuable in situations where rapid intervention can save an animal's life. These systems can serve as a supportive tool for veterinarians, especially in complex or rare disease cases. They can provide recommendations based on the latest research and clinical practices. In agriculture, expert systems can analyze data on the health of the entire herd and identify possible problems or trends, helping farmers and veterinarians to take timely action. This article focuses on the development of a veterinary expert system that reflects current animal health needs. The authors perform a detailed analysis of existing veterinary systems, highlighting key functionalities needed by veterinary and agricultural professionals. One unique aspect of the paper is the use of symptom-complexity weighting and probability calculations of diagnosable diseases, which can make a significant contribution to the accuracy and efficiency of animal disease diagnosis. The paper can serve as a useful resource for veterinary specialists as well as software developers involved in the creation of intelligent systems in medical and agricultural applications.
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兽医专家制度的发展
兽医学是一个现代技术可以产生重大影响的领域。专家系统在这一领域的应用尚未得到充分的探索。专家系统可以处理大量数据,包括症状、病史和其他参数,以提供准确和快速的诊断。这在快速干预可以挽救动物生命的情况下尤其有价值。这些系统可以作为兽医的辅助工具,特别是在复杂或罕见的疾病病例中。他们可以根据最新的研究和临床实践提供建议。在农业领域,专家系统可以分析整个畜群的健康数据,识别可能出现的问题或趋势,帮助农民和兽医及时采取行动。这篇文章的重点是兽医专家系统的发展,反映当前的动物卫生需求。作者对现有兽医系统进行了详细分析,强调了兽医和农业专业人员所需的关键功能。本文的一个独特之处在于使用症状复杂性加权和可诊断疾病的概率计算,这可以对动物疾病诊断的准确性和效率做出重大贡献。本文可以作为兽医专家以及参与创建医疗和农业应用智能系统的软件开发人员的有用资源。
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