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Journal section "Theoretical and methodological issues"

Agent-Based Modeling of Regional Healthcare: Addressing the Task of Formalizing Residents’ Medical Activity

Dianov S.V., Kalashnikov K.N., Rigin V.A.

Volume 15, Issue 1, 2022

Dianov S.V., Kalashnikov K.N., Rigin V.A. (2022). Agent-based modeling of regional healthcare: Addressing the task of formalizing residents’ medical activity. Economic and Social Changes: Facts, Trends, Forecast, 15(1), 55–73. DOI: 10.15838/esc.2022.1.79.3

DOI: 10.15838/esc.2022.1.79.3

Abstract   |   Authors   |   References
  1. Andersen R.M. (1968). Behavioral Model of Families: Use of Health Services. Chicago: Center for Health Administration Studies, University of Chicago.
  2. Badham J., Chattoe-Brown E., Gilbert N., Chalabi Z., Kee F., Hunter R. F. (2018). Developing agent-based models of complex health behaviour. Health Place. 54, 170-177. DOI: 10.1016/j.healthplace.2018.08.022
  3. Bakhtizin A.R. (2008). Agent-orientirovannye modeli ekonomiki [Agent-Based Models of Economy]. Moscow: Ekonomika.
  4. Dawid H., Neugart M. (2011). Agent-based Models for Economic Policy Design. Eastern Economic Journal, no. 37, 44–50.
  5. Dianov S.V. (2020). The problem of optimal spatial placement of services for systems with mobile users. In: Materialy odinnadtsatoi zaochnoi mezhdunarodnoi nauchno-tekhnicheskoi konferentsii “Intellektual'no-informatsionnye tekhnologii i intellektual'nyi biznes (INFOS-2020)” (29–30 iyunya 2020 g.) [Proceedings of the Eleventh Virtual International Scientific and Technological Conference “Intellectual and Information Technologies and Intellectual Business (INFOS-2020)” (June 29–30, 2020)]. Vologda: VoGU. Pp. 53–55 (in Russian).
  6. Dianov S.V., Shvetsov A.N. (2018). Ispol'zovanie nechetkikh neironnykh setei dlya poiska vozmozhnykh stsenariev povedeniya v mul'tiagentnykh sistemakh organizatsionnogo upravleniya. In: Vuzovskaya nauka – regionam. Materialy XVI Vserossiiskoi nauchnoi konferentsii s mezhdunarodnym uchastiem. Vologda. Pp. 77–79 (in Russian).
  7. Gaffard J.-L., Napoletano M. (2012). Agent-based Models and Economic. Paris: OFCE. 448 p.
  8. Gupta M.M. (1994). Fuzzy neural networks: theory and applications, Proc. SPIE 2353, Intelligent Robots and Computer Vision XIII: Algorithms and Computer Vision. Available at https://doi.org/10.1117/12.188903
  9. Katz B.P., Freund D.A., Heck D.A., Dittus R.S., Paul J.E., Wright J., Coyte P., Holleman E., Hawker G. (1996). Demographic variation in the rate of knee replacement: a multi-year analysis. Health Services Research, 31(2), 125–140.
  10. Lurie N., Slater J., McGovern P., Ekstrum J., Quam L., Margolis K. (1993). Preventive care for women. Does the sex of the physician matter? N Engl J Med., 12, 329(7), 478–482. DOI: 10.1056/NEJM199308123290707
  11. Makarov V.L., Bakhtizin A.R., Sushko E.D. (2016). Agent-based models as a means of testing of management solutions. Upravlencheskoe konsul'tirovanie=Administrative Consulting, 12, 16–25 (in Russian).
  12. Makarov V.L., Bakhtizin A.R., Sushko E.D., Sushko G.B. (2019). Agent-based supercomputer demographic model of Russia: approbation analysis. Ekonomicheskie i sotsial'nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 12(6), 74–90. DOI: 10.15838/esc.2019.6.66.4 (in Russian).
  13. Mendritzki S. (2010). Artificial Policy: Examining the Use of Agent-Based Modeling in Policy Contexts. M.S. Thesis. Alberta: University of Calgary. 130 p.
  14. Mikhailova Yu.V., Leonov S.A., Son I.M. et al. (2007). Current state and directions of development of national medical statistics. Sotsial'nye aspekty zdorov'ya naseleniya=Social Aspects of Population Health, 1(1). Available at: http://vestnik.mednet.ru/content/view/21/30 (accessed: November 10, 2021; in Russian).
  15. Mirowsky J., Ross C.E. (1983). Patient satisfaction and visiting the doctor: A self-regulating system. Social Science & Medicine, 17(18), 1353–1361. Available at https://doi.org/10.1016/0277-9536(83)90195-8
  16. Nichol M.B., Stimmel G.L., Lange S.C. (1995). Factors predicting the use of multiple psychotropic medications. The Journal of Clinical Psychiatry, 56(2), 1–66.
  17. Pokrovskaya S.E. (2012). Factors forming medical aid appealability. Sotsial'nye aspekty zdorov'ya naseleniya=Social Aspects of Population Health, 25(3), 2 (in Russian).
  18. Pottick K., Hansell S., Gutterman E., White H.R. (1995). Factors associated with inpatient and outpatient treatment for children and adolescents with serious mental illness. Journal of the American Academy of Child & Adolescent Psychiatry, 34(4), 425–433. Available at https://doi.org/10.1097/00004583-199504000-00009
  19. Rusinova N.L., Panova L.V. (2002). Access to health services: Methodological approaches and measurement methods. Zhurnal sotsiologii i sotsial'noi antropologii=Journal of Sociology and Social Anthropology, 5(4), 147–163 (in Russian).
  20. Shvetsov A.N., Dianov S.V. (2018). Using fuzzy neural networks to determine reactive behavior in multi-agent organizational management systems. Vestnik Vologodskogo gosudarstvennogo universiteta. Seriya: Tekhnicheskie nauki=Bulletin of Vologda State University. Series: Technical Sciences, 1(1), 64–69 (in Russian).
  21. Silverman B.G. (2014). Systems approach to healthcare: Agent-based modeling, community mental health, and population well-being. Artificial Intelligence in Medicine, 63(2). DOI: 10.1016/j.artmed.2014.08.006
  22. Tracy M., Cerdá M., Keyes K.M. (2018). Agent-based modeling in public health: Current applications and future directions. Annual Review of Public Health, 39, 77–94. Available at: https://doi.org/10.1146/annurev-publhealth-040617-014317
  23. Wennberg J.E., Barnes B.A., Zubkoff M. (1982). Professional uncertainty and the problem of supplier-induced demand. Social Science & Medicine, 16(7), 811–824.

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