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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/52536
Title: On Intelligent Multiagent Approach to Viral Hepatitis B Epidemic Processes Simulation
Authors: Chumachenko, Dmytro
Affiliation: National Aerospace University “Kharkiv Aviation Institute”
Bibliographic description (Ukraine): Chumachenko D. On Intelligent Multiagent Approach to Viral Hepatitis B Epidemic Processes Simulation / Dmytro Chumachenko // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Львів : Lviv Politechnic Publishing House, 2018. — P. 415–419. — (Hybrid Systems of Computational Intelligence).
Bibliographic description (International): Chumachenko D. On Intelligent Multiagent Approach to Viral Hepatitis B Epidemic Processes Simulation / Dmytro Chumachenko // Data stream mining and processing : proceedings of the IEEE second international conference, 21-25 August 2018, Lviv. — Lviv Politechnic Publishing House, 2018. — P. 415–419. — (Hybrid Systems of Computational Intelligence).
Is part of: Data stream mining and processing : proceedings of the IEEE second international conference, 2018
Conference/Event: IEEE second international conference "Data stream mining and processing"
Issue Date: 28-Feb-2018
Publisher: Lviv Politechnic Publishing House
Place of the edition/event: Львів
Temporal Coverage: 21-25 August 2018, Lviv
Keywords: multiagent simulation
epidemic process
viral Hepatitis B
incidence prediction
Number of pages: 5
Page range: 415-419
Start page: 415
End page: 419
Abstract: Simulation of epidemic processes is actual task, which has high social and economic value. Given research is dedicated to the application of the intellectual multiagent approach to the prediction of the incidence of viral hepatitis B. The structure of the model, agents, environment and rules of agents’ interaction has been developed. The multiagent model shows high accuracy.
URI: https://ena.lpnu.ua/handle/ntb/52536
ISBN: © Національний університет „Львівська політехніка“, 2018
© Національний університет „Львівська політехніка“, 2018
Copyright owner: © Національний університет “Львівська політехніка”, 2018
References (Ukraine): [1] D. Chumachenko, K. Bazilevych and E. Meniailov, “Computer simulation of population dynamics epidemic processes,” in Mathematical modeling, optimization, information technologies in technical and social-economic systems, 2018, (in press).
[2] C. Trepo, “Hepatitis B virus infection,” in The Lancet, vol. 384, iss. 9959, pp. 2053–2063, 2014.
[3] L. Rivino, et al, “Hepatitis B virus-specific T cells associate with viral control upon nucleos(t)ide-analogue therapy discontinuation,” Journal of Clinical Investigation, vol. 128(2), pp. 668–681, 2018.
[4] C. Pramoolsinsup, “Management of viral hepatitis B,” Journal of Gastroenterology and Hepatology, vol. 17, iss. S1, pp. 125–145, 2002.
[5] J. MacLachlan and B. Cowie, “Hepatitis B Virus Epidemiology,” in Cold Spring Harbor Perspectives in Medicine, vol. 5, pp. 1–13, 2015.
[6] L. Gromashevsky, General epidemiology, 4th ed., Moscow: Medicine, 1965.
[7] F. Debarre, “SIR models of epidemics” in Modelling course in population and evolutionary biology, Zurich: Institute of Integrative Biology, 2010.
[8] L. Zhang, L. Yingqiu, R. Qingqing and H. Zhenxiang, “Global dynamics of an SEIRS epidemic model with constant immigration and immunity,” in WSEAS transactions on mathematics, vol. 12, iss. 5, pp. 630–640, 2013.
[9] D. Chumachenko, and S. Yakovlev, “Investigation of agent-based simulation of malisious software,” in Econtechmod: an international quarterly journal, vol. 5, iss. 4, Poland: Lublin-Rzeszow, pp. 61–67, 2016.
[10] D. Chumachenko, and T. Chumachenko, “Agent-based model of the epidemic process of diseases with multiple routes of infection transmission development and evaluation,” International Journal of Research Studies in Computer Science and Engineering, vol. 3, iss. 5, India: ARC publications private limited, pp. 61–67, 2016.
[11] A. Chopra, and P. Munindar, “Agent communicatio,” in Multiagent systems, MIT Press, pp. 9–33, 2011.
[12] D. Chumachenko, V. Dobriak, M. Mazorchuk, I. Meniailov, and K. Bazilevych, “On agent-based approach to influenza and acute respiratory virus infection simulation,” 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, pp. 184188, February 20 – 24, 2018.
[13] S. Russel, P. Norwig, Artificial intelligence. A modern approach. New Jersey: Prentice-Hall, 2003.
References (International): [1] D. Chumachenko, K. Bazilevych and E. Meniailov, "Computer simulation of population dynamics epidemic processes," in Mathematical modeling, optimization, information technologies in technical and social-economic systems, 2018, (in press).
[2] C. Trepo, "Hepatitis B virus infection," in The Lancet, vol. 384, iss. 9959, pp. 2053–2063, 2014.
[3] L. Rivino, et al, "Hepatitis B virus-specific T cells associate with viral control upon nucleos(t)ide-analogue therapy discontinuation," Journal of Clinical Investigation, vol. 128(2), pp. 668–681, 2018.
[4] C. Pramoolsinsup, "Management of viral hepatitis B," Journal of Gastroenterology and Hepatology, vol. 17, iss. S1, pp. 125–145, 2002.
[5] J. MacLachlan and B. Cowie, "Hepatitis B Virus Epidemiology," in Cold Spring Harbor Perspectives in Medicine, vol. 5, pp. 1–13, 2015.
[6] L. Gromashevsky, General epidemiology, 4th ed., Moscow: Medicine, 1965.
[7] F. Debarre, "SIR models of epidemics" in Modelling course in population and evolutionary biology, Zurich: Institute of Integrative Biology, 2010.
[8] L. Zhang, L. Yingqiu, R. Qingqing and H. Zhenxiang, "Global dynamics of an SEIRS epidemic model with constant immigration and immunity," in WSEAS transactions on mathematics, vol. 12, iss. 5, pp. 630–640, 2013.
[9] D. Chumachenko, and S. Yakovlev, "Investigation of agent-based simulation of malisious software," in Econtechmod: an international quarterly journal, vol. 5, iss. 4, Poland: Lublin-Rzeszow, pp. 61–67, 2016.
[10] D. Chumachenko, and T. Chumachenko, "Agent-based model of the epidemic process of diseases with multiple routes of infection transmission development and evaluation," International Journal of Research Studies in Computer Science and Engineering, vol. 3, iss. 5, India: ARC publications private limited, pp. 61–67, 2016.
[11] A. Chopra, and P. Munindar, "Agent communicatio," in Multiagent systems, MIT Press, pp. 9–33, 2011.
[12] D. Chumachenko, V. Dobriak, M. Mazorchuk, I. Meniailov, and K. Bazilevych, "On agent-based approach to influenza and acute respiratory virus infection simulation," 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, pp. 184188, February 20 – 24, 2018.
[13] S. Russel, P. Norwig, Artificial intelligence. A modern approach. New Jersey: Prentice-Hall, 2003.
Content type: Conference Abstract
Appears in Collections:Data stream mining and processing : proceedings of the IEEE second international conference

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