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Role of Multi-agent Systems in Health Care: A Review

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Emerging Technologies in Data Mining and Information Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 490))

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Abstract

A multi-agent system (MAS) is a complex system consisting of multiple intelligent agents which can operate in an autonomous manner, yet can still act in a consistent way due to the information connections amongst them. With the growth in population, demand for the healthcare services has also been increased. Multi-agent systems play a very significant role in the health care services. It has been analysed that very few models have been proposed in the area of women and infant healthcare. In this paper, we have presented a comprehensive review of the research work for the use of multi-agent systems in different aspects of healthcare system and find out the research gaps in the same.

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References

  1. Chen B, Cheng HH (2010) A review of the applications of agent technology in traffic and transportation systems. IEEE Trans Intell Transp Syst 11(2):485–497. https://doi.org/10.1109/TITS.2010.2048313

    Article  Google Scholar 

  2. Schumacher M. Objective coordination in multi-agent system engineering. Lecture notes in computer science, vol 2039. Springer, Berlin, Heidelberg

    Google Scholar 

  3. Wooldridge M (2009) An introduction to multiagent systems. John Wiley & Sons. ISBN-10: 0470519460

    Google Scholar 

  4. Mahmoud MS (2018) Multiagent systems. In: Advanced control design with application to electromechanical systems, Elsevier, 2018, pp 313–338

    Google Scholar 

  5. https://www.whcobgyn.org/

  6. Karney P (2000) Women’s health: an evolving mosaic. J Gen Intern Med 15(8):600–602. https://doi.org/10.1046/j.1525-1497.2000.00623.x

    Article  Google Scholar 

  7. https://www.medicalnewstoday.com/categories/womens_health

  8. Hirshberg A, Srinivas SK (2017) Epidemiology of maternal morbidity and mortality. Sem Perinatol 41(6):332–337. https://doi.org/10.1053/j.semperi.2017.07.007

  9. Blencowe H, Calvert C, Lawn JE, Cousens S, Campbell OMR (2016) Measuring maternal, fetal and neonatal mortality: challenges and solutions. In: Best practice and research: clinical obstetrics and gynaecology, vol 36. Bailliere Tindall Ltd, pp 14–29, Oct 01, 2016. https://doi.org/10.1016/j.bpobgyn.2016.05.006

  10. https://data.unicef.org/topic/maternal-health/maternal-mortality/

  11. Jamison DT, Murphy SM, Sandbu ME (2016) Why has under-5 mortality decreased at such different rates in different countries? J Health Econ 48:16–25. https://doi.org/10.1016/j.jhealeco.2016.03.002

    Article  Google Scholar 

  12. https://en.wikipedia.org/wiki/Prenatal_care

  13. https://www.plannedparenthood.org/learn/pregnancy/prenatal-care

  14. http://www.open.edu/openlearncreate/mod/oucontent/view.php?id=335&printable=1

  15. Jemal H, Kechaou Z, Ben Ayed M, Alimi AM (2015) A multi agent system for hospital organization. Int J Mach Learn Comput 5(1):51–56. https://doi.org/10.7763/ijmlc.2015.v5.482

  16. Moreno A. The application of agent technology to health care

    Google Scholar 

  17. Han BM, Song SJ, Lee M, Jang KS, Shin DR. Multi agent system based efficient healthcare service

    Google Scholar 

  18. Zhang P, Carlsson B, Johansson SJ (2010) Enhanced collaboration in diabetic healthcare for children using multi-agent systems. Int J Agent-Oriented Softw Eng 4(2):155–173. https://doi.org/10.1504/IJAOSE.2010.032800

    Article  Google Scholar 

  19. Nunes I, Choren R, Nunes C, Fabri B, Silva F, Carvalho G, Lucena C (2010) Supporting prenatal care in the public healthcare system in a newly industrialized country. In: Proceedings of 9th international conference on autonomous agents and multi agent systems: industry track, May 2010, pp 1723–1730

    Google Scholar 

  20. Tian J, Tianfield H (2009) Health delivery systems—a case for multi-agent systems. In: Conference proceedings—IEEE international conference on systems, man and cybernetics, pp 2718–2722

    Google Scholar 

  21. Daknou A, Zgaya H, Hammadi S, Hubert H (2009) Agent-based architecture for the healthcare of patients at the emergency department. IFAC Proceedings, vol 2, no PART 1, pp 175–180. https://doi.org/10.3182/20090610-3-it-4004.00035

  22. Cabrera E, Taboada M, Iglesias ML, Epelde F, Luque E (2011) Optimization of healthcare emergency departments by agent-based simulation. Procedia Comput Sci 4:1880–1889. https://doi.org/10.1016/j.procs.2011.04.204

    Article  Google Scholar 

  23. Hylton A, Sankaranarayanan S (2012) Application of intelligent agents in hospital appointment scheduling system. Int J Comput Theory Eng 4(4):625–630. https://doi.org/10.7763/ijcte.2012.v4.545

    Article  Google Scholar 

  24. Turcu CE, Turcu CO (2013) Internet of Things as key enabler for sustainable healthcare delivery. Procedia—Soc Behav Sci 73:251–256. https://doi.org/10.1016/j.sbspro.2013.02.049

    Article  Google Scholar 

  25. Arsene O, Dumitrache I, Mihu I (2015) Expert system for medicine diagnosis using software agents. Expert Syst Appl 42(4):1825–1834. https://doi.org/10.1016/j.eswa.2014.10.026

    Article  Google Scholar 

  26. Mago VK, Syamala Devi M (2007) A multi-agent medical system for Indian rural infant and child care. In: Proceedings of 20th international joint conference on Arificial Intelligence (IJCAI2007), Hyderabad, pp 1396–1401

    Google Scholar 

  27. Dezhi X, Ganegoda GU (2010) Multi agent system to reduce malnutrition (MASRM) in children. In: 2010 international conference on computational intelligence and software engineering, CiSE 2010, pp 1–4.https://doi.org/10.1109/CISE.2010.5676807

  28. Saadatian E et al (2011) Low cost infant monitoring and communication system. In: 2011 IEEE colloquium on humanities, science and engineering, CHUSER 2011, no. Chuser, pp 503–508. https://doi.org/10.1109/CHUSER.2011.6163782

  29. Goto J, Kidokoro T, Ogura T, Suzuki S (2013) Activity recognition system for watching over infant children. In: Proceedings—IEEE international workshop robot human interaction communication, pp 473–477. https://doi.org/10.1109/ROMAN.2013.6628549

  30. Wettasinghe RI, Perera PB, Aponsu GR, Jayathilake AV, Gamage MP, De Silva KP (2013) Knowledge sharing and prediction system for maternity and infant care in Sri Lanka. In: Proceedings of the 8th international conference on computer science and education, ICCSE 2013, no. Iccse, pp 292–297, 2013. https://doi.org/10.1109/ICCSE.2013.6553927

  31. Fonseca ÂM, Horta ET, Sendra S, Rodrigues JJ, Moutinho JA (2014) A sudden infant death prevention system for babies. In: 2014 IEEE 16th international conference on e-health networking, applications and services (healthcom), pp 525–530. https://doi.org/10.1109/HealthCom.2014.7001897

  32. Gupta A, Pawar C, Antony B, Ringe S (2016) Aarogya—an intelligent multi-agent paediatric system. Int J Sci Eng Res 7(2):1–5

    Google Scholar 

  33. Liu LS, Hirano SH, Tentori M, Cheng KG, George S, Park SY, Hayes GR (2011) Improving communication and social support for caregivers of high-risk infants through mobile technologies. In: Proceedings of the ACM conference on computer supported cooperative work, CSCW, pp 475–484

    Google Scholar 

  34. Mahunnah M, Taveter K (2013) A scalable multi-agent architecture in environments with limited connectivity: case study on individualised care for healthy pregnancy. IEEE International Conference on Digital Ecosystems and Technologies, pp 84–89. https://doi.org/10.1109/DEST.2013.6611334

  35. Su CJ, Chu TW (2014) A mobile multi-agent information system for ubiquitous fetal monitoring. Int J Environ Res Public Health 11(1):600–625. https://doi.org/10.3390/ijerph110100600

    Article  Google Scholar 

  36. Shakshuki E, Reid M (2015) Multi-agent system applications in healthcare: current technology and future roadmap. Procedia Comput Sci 52(1):252–261. https://doi.org/10.1016/j.procs.2015.05.071

    Article  Google Scholar 

  37. Cioara T et al (2018) Expert system for nutrition care process of older adults. Futur Gener Comput Syst 80:368–383. https://doi.org/10.1016/j.future.2017.05.037

    Article  Google Scholar 

  38. Mendes S, Queiroz J, Leitão P (2017) Data driven multi-agent m-health system to characterize the daily activities of elderly people. In: 12th Iberian conference on information systems and technologies (CISTI), pp 1–6. https://doi.org/10.23919/CISTI.2017.7975725

  39. Koufi V, Malamateniou F, Vassilacopoulos G (2010) An agent-based application of personal health record in homecare. In: Proceedings of the 3rd international conference on pervasive technologies related to assistive environments, PETRA 2010, Samos, Greece, June 23–25, 2010. ACM International Conference Proceeding Series. ACM

    Google Scholar 

  40. Marcon E, Chaabane S, Sallez Y, Bonte T, Trentesaux D (2017) A multi-agent system based on reactive decision rules for solving the caregiver routing problem in home health care. J Simul Model Pract Theory 74:134–151. ISSN 1569-190X

    Google Scholar 

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Authors and Affiliations

  1. GNDU Regional Campus, Gurdaspur, India

    Anubhuti & Harjot Kaur

Authors
  1. Anubhuti
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  2. Harjot Kaur
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Correspondence to Anubhuti .

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Editors and Affiliations

  1. Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Satyajit Chakrabarti

  3. Department of Computer Application and Science, Institute of Engineering and Management, Kolkata, West Bengal, India

    Abhishek Bhattacharya

  4. Department of Computer Application and Science, Institute of Engineering and Management, Kolkata, West Bengal, India

    Soumi Dutta

  5. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    Celia Shahnaz

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Anubhuti, Kaur, H. (2023). Role of Multi-agent Systems in Health Care: A Review. In: Dutta, P., Chakrabarti, S., Bhattacharya, A., Dutta, S., Shahnaz, C. (eds) Emerging Technologies in Data Mining and Information Security. Lecture Notes in Networks and Systems, vol 490. Springer, Singapore. https://doi.org/10.1007/978-981-19-4052-1_37

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