Abstract
Drug treatment is necessary to treat most illnesses, maintain health or prevent further deterioration. Above all, medication in the ageing population is a very important aspect because a large number of hospital admissions in this age group are due to adverse reactions caused by the misadministration and misprescription of medicines. So it is an area where medical experts need to take special care. However, inappropriate prescribing is a major and constant problem for this sector of the population. This is one of the principals reasons that both the relationships between genetic determinants and variables in the health trajectory of the aging people throughout their lives are involved. In this paper propose a graph-based system that, using a quantum simulation, will allow medical experts to predict the possible adverse effects that a particular drug may have on the health of an aging person, based on their history of taking drugs, the described effects of these drugs and the physiological and genetic determinants of the patient. In this way, with the use of this system, health professionals will be able to prescribe in a personalized way for each patient, avoiding, as far as possible, the inappropriate prescription of drugs.
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References
Bygbjerg, I.C.: Double burden of noncommunicable and infectious diseases in developing countries. Science 337(6101), 1499–1501 (2012). https://doi.org/10.1126/SCIENCE.1223466
Mueller, C., Schur, C., O’Connell, J.: Prescription drug spending: the impact of age and chronic disease status. Am. J. Public Health 87(10), 1626–1629 (2011). https://doi.org/10.2105/AJPH.87.10.1626
Merle, L., Laroche, M.L., Dantoine, T., Charmes, J.P.: Predicting and preventing adverse drug reactions in the very old. Drugs Aging 22(5), 375–392 (2005). https://doi.org/10.2165/00002512-200522050-00003/FIGURES/TAB2
Cao, Y., Romero, J., Aspuru-Guzik, A.: Potential of quantum computing for drug discovery. IBM J. Res. Dev. 62(6), 6-1 (2018)
Dash, S., Shakyawar, S.K., Sharma, M., Kaushik, S.: Big data in healthcare: management, analysis and future prospects. J. Big Data 6(1), 1–25 (2019). https://doi.org/10.1186/S40537-019-0217-0/FIGURES/
Barry, P.J., O’Keefe, N., O’Connor, K.A., O’Mahony, D.: Inappropriate prescribing in the aging people: a comparison of the Beers criteria and the improved prescribing in the elderly tool (IPET) in acutely ill aging people hospitalized patients. J. Clin. Pharm. Ther. 2006(31), 617–626 (2006)
Gallagher, P., Barry, P., O’Mahony, D.: Inappropriate prescribing in the aging people. J. Clin. Pharm. Ther. 32, 113–121 (2007)
Mohseni, M., et al.: Commercialize quantum technologies in five years. Nature 543(7644), 171–174 (2017). https://doi.org/10.1038/543171a
Spinewine, A., et al.: Appropriate prescribing in elderly people: how well can it be measured and optimised? Lancet (London Engl.) 370(9582), 173–184 (2007). https://doi.org/10.1016/S0140-6736(07)61091-5
Feinstein, A.R., Horwitz, R.I.: Problems in the “evidence’’ of “evidence-based medicine’’. Am. J. Med. 103(6), 529–535 (1997). https://doi.org/10.1016/S0002-9343(97)00244-1
Shubham, Sajwan, P., Jayapandian, N.: Challenges and opportunities: quantum computing in machine learning. In: Proceedings of the 3rd International Conference on I-SMAC IoT in Social, Mobile, Analytics and Cloud, I-SMAC 2019, pp. 598–602 (2019). https://doi.org/10.1109/I-SMAC47947.2019.9032461
MacQuarrie, E.R., Simon, C., Simmons, S., Maine, E.: The emerging commercial landscape of quantum computing. Nat. Rev. Phys. 2(11), 596–598 (2020)
Zhao, J.: Quantum software engineering: landscapes and horizons (2020). https://arxiv.org/abs/2007.07047v1
Bernstein, E., Vazirani, U., Comput, S.J.: Quantum complexity theory *. Soc. Ind. Appl. Math. 26(5), 7 (1997). http://www.siam.org/journals/sicomp/26-5/30092.html
Aaronson, S.: BQP and the polynomial hierarchy. In: Proceedings of the Annual ACM Symposium on Theory of Computing, pp. 141–150 (2009). https://doi.org/10.1145/1806689.1806711
Ozhigov, Y.: Quantum computers speed up classical with probability zero. Chaos Solitons Fractals 10(10), 1707–1714 (1998). https://doi.org/10.1016/S0960-0779(98)00226-4
Zhang, S.: BQP-complete problems. Handb. Nat. Comput. 3–4, 1545–1571 (2012). https://doi.org/10.1007/978-3-540-92910-9_46
Shaikh, T.A., Ali, R.: Quantum computing in big data analytics: a survey. In: 2016 IEEE International Conference on Computer and Information Technology (CIT), pp. 112–115 (2016). https://doi.org/10.1109/CIT.2016.79
Erickson, J., Siau, K.: Service oriented architecture: a research review from the software and applications perspective. Innov. Inf. Syst. Model. Methods Best Pract. 190–203 (2009)
Nadareishvili, I., Mitra, R., McLarty, M., Amundsen, M.: Microservice Architecture: Aligning Principles, Practices, and Culture. O’Reilly Media, Inc. (2016)
Taibi, D., Lenarduzzi, V., Pahl, C.: Processes, motivations, and issues for migrating to microservices architectures: an empirical investigation. IEEE Cloud Comput. 4(5), 22–32 (2017)
Casciaro, M., Mammino, L.: Node.js Design Patterns: Design and Implement Production-Grade Node.js Applications Using Proven Patterns and Techniques. Packt Publishing Ltd. (2020)
Acknowledgements
This work was supported by the projects 0499_4IE_PLUS_4_E (Interreg V-A España-Portugal 2014–2020), RTI2018-094591-B-I00 (MCIU/AEI/FEDER, UE) the QSalud Project, the Department of Economy and Infrastructure of the Government of Extremadura (GR18112, IB18030), and the European Regional Development Fund.
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Romero-Álvarez, J., Alvarado-Valiente, J., Garcia-Alonso, J., Moguel, E., Murillo, J.M. (2022). A Graph-Based Healthcare System for Quantum Simulation of Medication Administration in the Aging People. In: García-Alonso, J., Fonseca, C. (eds) Gerontechnology IV. IWoG 2021. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-97524-1_4
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