Geodesic
The use of mivar expert systems for diagnosis of bacterial antibiotic resistance
News of the Kabardin-Balkar scientific center of RAS, Tome 27 (2025) no. 2, pp. 55-73.

Voir la notice de l'article provenant de la source Math-Net.Ru

The study is dedicated to the use of mivar expert systems for identifying bacterial resistance to existing antibiotics. A modular architecture of the system was presented, which allows easy addition and updating of individual components. A knowledge base consisting of 56 rules for working with the expert system was created. It is proposed to implement the system using the KESMI software, which allowed for logical conclusions to be drawn. The system was tested on three different cases. The first case involved the presence of a mutation in the mecA gene, the second involved methylated ribosomes, and the third involved Gram-positive bacteria. Testing of the Mivar expert system showed that the bacteria's resistance results matched the established knowledge base. The impact of using Mivar expert systems on the process of detecting antibiotic resistance has been studied. A description of the methodologies used to evaluate the system's effectiveness was proposed. It was justified why the use of expert systems can significantly improve the diagnosis and treatment of infectious diseases.
Mots-clés : mivar
Keywords: mivar expert system, Wi!Mi, Big Knowledge, bacterial antibiotic resistance, automated production control systems, smart production systems, automated process control systems 
@article{IZKAB_2025_27_2_a3,
     author = {O. O. Varlamov and N. Ch. Salahutdinova},
     title = {The use of mivar expert systems for diagnosis of bacterial antibiotic resistance},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {55--73},
     publisher = {mathdoc},
     volume = {27},
     number = {2},
     year = {2025},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a3/}
}
TY  - JOUR
AU  - O. O. Varlamov
AU  - N. Ch. Salahutdinova
TI  - The use of mivar expert systems for diagnosis of bacterial antibiotic resistance
JO  - News of the Kabardin-Balkar scientific center of RAS
PY  - 2025
SP  - 55
EP  - 73
VL  - 27
IS  - 2
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a3/
LA  - ru
ID  - IZKAB_2025_27_2_a3
ER  - 
%0 Journal Article
%A O. O. Varlamov
%A N. Ch. Salahutdinova
%T The use of mivar expert systems for diagnosis of bacterial antibiotic resistance
%J News of the Kabardin-Balkar scientific center of RAS
%D 2025
%P 55-73
%V 27
%N 2
%I mathdoc
%U http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a3/
%G ru
%F IZKAB_2025_27_2_a3
O. O. Varlamov; N. Ch. Salahutdinova. The use of mivar expert systems for diagnosis of bacterial antibiotic resistance. News of the Kabardin-Balkar scientific center of RAS, Tome 27 (2025) no. 2, pp. 55-73. http://geodesic.mathdoc.fr/item/IZKAB_2025_27_2_a3/

[1] O. O. Varlamov, Evolutionary databases and knowledge for adaptive synthesis of intelligent systems. mivar information space, Radio i svyaz', 2002, 286 pp. (In Russian)

[2] M. S. Torzhkov, Yu. P. Koroleva, A. V. Baldin et al., “Creation of a mivar expert system for addressing ethical aspects of artificial intelligence for credit scoring”, Problems of Artificial Intelligence, 2024, no. 4 (35), 139–150 (In Russian) | DOI

[3] O. O. Varlamov, D. A. Chuvikov, L. E. Adamova et al., “Logical, philosophical and ethical aspects of AI in medicine”, International Journal of Machine Learning and Computing, 9:6 (2019), 868–873 | DOI

[4] O. O. Varlamov, D. A. Chuvikov, V. N. Lemondzhava et al., “A software package supporting decision making on the safety of thermolabile blood components”, Biomedical Engineering, 55:5 (2022), 355–359 | DOI

[5] E. I. Mashchenko, D. K. Karpov, O. O. Varlamov et al., “Creation of a mivar expert system for understanding images and decision-making in fall detection”, Problems of Artificial Intelligence, 2024, no. 4 (35), 88–100 (In Russian) | DOI | DOI

[6] N. S. Podoprigorova, S. A. Kozyrev, S. S. Podoprigorova et al., “Development of a mivar expert system for consensus algorithm selection in distributed ledgers”, Problems of Artificial Intelligence, 2024, no. 4 (35), 126–138 (In Russian) | DOI | DOI

[7] C. Shen, Sh. Gun, O. O. Varlamov et al., “Dynamic trajectory planning for robots based on semantic object detection using a mivar expert system”, Problems of Artificial Intelligence, 2024, no. 4 (35), 164–176 (In Russian) | DOI | DOI

[8] D. A. Chuvikov, N. A. Kazakova, O. O. Varlamov, A. V. Golovizhin, “3D modeling and 3D objects creation technology analysis for various intelligent systems”, International Journal of Advanced Studies, 4:4 (2014), 16–22 | DOI

[9] O. O. Varlamov, “Creation of large knowledge bases and expansion of the application areas of mivar logical artificial intelligence technologies”, Information and Mathematical Technologies in Science and Management, 2023, no. 4 (32), 30–41 (In Russian) | DOI | DOI

[10] O. O. Varlamov, “Mivar technologies as certain directions of artificial intelligence”, Problems of Artificial Intelligence, 2015, no. 1 (1), 23–37 (In Russian)

[11] O. O. Varlamov, “Automation of Human Mental Activities via Logical Artificial Intelligence as a Fundamental Mechanism for Humanity's Development or Destruction”, Problems of Artificial Intelligence, 2017, no. 3 (6), 23–31 (In Russian)

[12] O. O. Varlamov, V. M. Lazarev, D. A. Chuvikov, “On the prospects of creating autonomous intelligent robots based on mivar technologies”, Radio Industry. 2016, no. 4, 96–105 (In Russian)

[13] A. N. Vladimirov, A. V. Nosov, T. S. Potapova, “Application of the multiprocessor computing cluster niir for parallelizing algorithms in scientific-technical and computational tasks”, Proceedings of the NIIR Radio Institute, 2009, no. 3, 120–123 (In Russian)

[14] A. A. Semenov, “Research on the selection methods for advertising campaigns based on comparison of multidimensional vectors”, Problems of Artificial Intelligence, 2020, no. 1 (16), 89–104 (In Russian)

[15] A. A. Shtrak, “Mivar knowledge base for automating the study of patent ductus arteriosus and hearing”, MIVAR'24: Collection of Scientific Articles, 2024, 548–556 (In Russian)

[16] V. K. Klinova, “Mivar knowledge base of portable spirometer for individual control of external respiratory functions”, MIVAR'24: Collection of Scientific Articles, 2024, 557–561 (In Russian)

[17] E. S. Abrochnov, A. M. Solovyeva, V. A. Makeev et al., “MES for selecting beneficial products”, MIVAR'24: Collection of Scientific Articles, 2024, 536–542 (In Russian)

[18] D. A. Ovchinnikov, A. A. Milevich, M. A. Fonin et al., “MES for improving the segmentation of trees from a point cloud”, MIVAR'24: Collection of Scientific Articles, 2024, 293–297, NOGUPU, EDN (In Russian)

[19] A. N. Abdrashitova, A. T. Vardumyan, A. D. Golovatsky et al., “Cloud system for creating mivar knowledge bases”, MIVAR'24: Collection of Scientific Articles, 2024, 455–459, LKDKGC, EDN (In Russian)

[20] D. A. Chuvikov, R. I. Kim, A. V. Baldin, “Analysis of large language models for building dialog systems”, MIVAR'24: Collection of Scientific Articles, 2024, 426–431 (In Russian)

[21] O. O. Varlamov, S. A. Egorov, “Development of mivar technologies for semantic processing of text data streams”, MIVAR'22: Collection of Scientific Articles, 2022, 194–212 (In Russian)

[22] A. A. Kotsenko, “Analysis of the application of mivar networks for automated process control systems using bipartite and tripartite graphs”, MIVAR'24: Collection of Scientific Articles, 2024, 432–438 (In Russian)

[23] A. R. Khabchaeva, P. A. Chezegova et al., “MES for categorizing critical information infrastructure in automated process control systems”, MIVAR'24: Collection of Scientific Articles, 2024, 37–41 (In Russian)

[24] A. V. Kovalenko, S. S. Kondrakhin, D. O. Smyslov, “MES for selecting a driving simulator for vehicle control skills development”, MIVAR'24: Collection of Scientific Articles, 2024, 67–72 (In Russian)

[25] V. V. Rudzinsky, “Mivar knowledge base for technical support of high-load fail-safe clusters”, MIVAR'24: Collection of Scientific Articles, 2024, 169–173, ZJYOTC, EDN (In Russian)

[26] F. A. Starykh, “MES for evaluating the content of packet data in a local network”, MIVAR'24: Collection of Scientific Articles, 2024, 102–106 (In Russian)

[27] V. I. Pleshakov, “Development of a mivar logical inference machine for the Elbrus processor”, MIVAR'24: Collection of Scientific Articles, 2024, 450–454 (In Russian)

[28] A. A. Kotsenko, “Development of mivar logical space models for ensuring 3d movement of autonomous robots”, MIVAR'24: Collection of Scientific Articles, 2024, 361–366 (In Russian)

[29] L. S. Sinitsyn, “Platform for SPR robot based on hybrid intelligent system”, MIVAR'24: Collection of Scientific Articles, 2024, 384–388 (In Russian)

[30] O. O. Varlamov, “On the creation of autonomous harvesters and tractors for agriculture based on mivar decision-making systems “ROBO!RAZUM””, Problems of Artificial Intelligence, 2019, no. 2 (13), 49–62, AMUYCK, EDN (In Russian)

[31] A. Yu. Fedyunov, Yu. G. Nesterov, A. D. Pravdina, “MES for climate control in a greenhouse”, MIVAR'24: Collection of Scientific Articles, 2024, 107–112 (In Russian)

[32] O. O. Varlamov, “An overview of the application areas of mivar logical artificial intelligence technologies”, MIVAR'24: Collection of Scientific Articles, 2024, 7–15 (In Russian)

[33] A. Andreev, A. Kotsenko, O. Varlamov et al., “Text processing using LLM for automatic creation of agricultural crops knowledge bases”, Bio Web of Conferences: International scientific conference on biotechnology and food technology (BFT-2024), 130 (2024), 01029, EDP Sciences, Les Ulis | DOI

[34] D. V. Aladin, E. V. Aladina, D. A. Chuvikov et al., “Creating a «Logical intelligent plant care system» in digital agriculture based on Mivar approach”, IOP Conference Series: Earth and Environmental Science, 954 (2022), 012004 | DOI

[35] D. A. Chuvikov, D. V. Aladin, L. E. Adamova et al., “A new method for creating Mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems”, Journal of Physics: Conference Series: International Conference on Actual Issues of Mechanical Engineering, 2061 (2021), 012123 | DOI

[36] D. V. Aladin, O. O. Varlamov, D. A. Chuvikov et al., “Control of vehicles and robots: Creation of planning systems in the state space (MIPRA)”, IOP Conference Series: Materials Science and Engineering: International Conference of Young Scientists and Students “Topical Problems of Mechanical Engineering”, 747 (2020), 012097 | DOI

[37] A. Tabish, Ah. Sarfaraz, A. Muhammad, “Artificial Intelligence for Antimicrobial Resistance Prediction: Challenges and Opportunities towards Practical Implementation”, Antibiotics (Basel), 12:3 (2023), 523 | DOI

[38] R. Tang, R. Luo, S. Tang et al., “Machine learning in predicting antimicrobial resistance: a systematic review and meta-analysis”, Int J Antimicrob Agents, 60 (2022), 106684 | DOI

[39] H. Bilal, M. N. Khan, S. Khan et al., “The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance”, Comput Struct Biotechnol J, 2025, no. 27, 423–439 (accessed 01.03.2025) https://pmc.ncbi.nlm.nih.gov/articles/PMC11791014/

[40] S. De Vries, T. Ten Doesschate, Totté JEE et al., “A semi-supervised decision support system to facilitate antibiotic stewardship for urinary tract infections”, Comput Biol Med, 2022, no. 146, 105621 | DOI

[41] M. Foroughi, A. Arzehgar, S. N. Seyedhasani et al., “Application of machine learning for antibiotic resistance in water and wastewater: A systematic review”, Chemosphere, 2024 | DOI