An expert system for diagnosis cow diseases | [Journal of Theoretical and Applied Information Technology • 2020]

Author(s):

1. SHOPAGULOV OLZHAS: Dept. of Information Systems, Kazakh Agro Technical University named after S. Seifullin, Kazakhstan

2. TRETYAKOV IGOR: Dept. of Information Systems, Kazakh Agro Technical University named after S. Seifullin, Kazakhstan

3. ISMAILOVA AISULU: Dept. of Information Systems, Kazakh Agro Technical University named after S. Seifullin, Kazakhstan

4. AITIMOVA ULZADA: Dept. of Information Systems, Kazakh Agro Technical University named after S. Seifullin, Kazakhstan

5. BEISEMBAYEV KANATZHAN: Dept. of Veterinary Sanitation, Kazakh Agro Technical University named after S. Seifullin, Kazakhstan

6. MUKHANBETKALIYEVA AIZADA: Dept. of Veterinary Medicine, Kazakh Agro Technical University named after S. Seifullin, Kazakhstan

Abstract:

This article describes an automated expert system developed to diagnose cow diseases and assist veterinarians in treatment. We set before a diagnostic method based on the analysis of observed symptoms and experience of veterinarians. The system represents a web interface for maintaining a database of diseases, their symptoms and treatment methods, as well as a smartphone application for the diagnostics in offline mode. The article presents a structural diagram and describes the main parameters of the developed expert system, as well as a general scheme of the interaction of individual components. Diagnostics and ranking of possible diseases is performed by adding and sorting the results of weighting coefficients of observed symptoms and symptom complexes. Weighting values of symptoms and symptom complexes are determined by veterinary experts. Also presented in the article the information on the developed expert system, and the results of tests and testing during its use. We have simulated the real conditions of cow disease, together with students, made a comparative characteristic with and without the use of developed software product in the diagnosis. By constantly monitoring and updating the knowledge base online, the system has potential use in veterinary practice.

Page(s): 3106-3115

DOI: DOI not available

Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 15, Year: 2020

Keywords:

Diagnosis Of Diseases , Weighting Coefficients

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