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Mathematical Model of Glucose Metabolism by Symbolic Regression \(\alpha \) \(\beta \)

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Abstract

A mathematical model of glucose process is generated using symbolic regression. Considering a record of data of glucose and insulin of a patient with type II diabetes, a data driven model is generated. Neural networks are black boxes and symbolic regression can generate equations that express explicit a relationship between input variables with respect to the output response. This model is a personalized version of the metabolism of the patient and different treatments can be considered using this model.

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References

  1. Boutayeb, A., Chetouani, A.: A critical review of mathematical models and data used in diabetology. BioMed. Eng. OnLine 5, 43 (2006). Singh, P.K., ed. PLoS ONE

    Article  Google Scholar 

  2. Chauhan, A., Weiss, H., Koch, F., et al.: Dissecting long-term glucose metabolism identifies new susceptibility period for metabolic dysfunction in aged mice. BioMed. Eng. OnLine 10, e0140858 (2015). Singh, P.K., ed. PLoS ONE

    Google Scholar 

  3. Montgomery, D.C., Peck, E.A., Vining, G.G.: Introduction to Linear Regression Analysis. Wiley, Hoboken (2012)

    MATH  Google Scholar 

  4. Liu, S.W., Huang, H.P., Lin, C.H., Chien, I.L.: Modified control algorithms for patients with type 1 diabetes mellitus undergoing exercise. J. Taiwan Inst. Chem. Eng. 45(5), 2081–2095 (2014). http://www.sciencedirect.com/science/article/pii/S1876107014001795

    Article  Google Scholar 

  5. Lunze, K., Woitok, A., Walter, M., Brendel, M.D., Afify, M., Tolba, R., Leonhardt, S.: Analysis and modelling of glucose metabolism in diabetic gottingen minipigs. Biomed. Signal Process. Control 13, 132–141 (2014). http://www.sciencedirect.com/science/article/pii/S1746809414000603

    Article  Google Scholar 

  6. Torres-Treviño, L.M.: Identification and prediction using symbolic regression alpha-beta: preliminary results. In: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, GECCO Comp 2014, pp. 1367–1372. ACM, New York (2014). http://doi.acm.org/10.1145/2598394.2609859

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Acknowledgments

I thank to Griselda Quiroz from Universidad Autónoma de Nuevo León, and Instituto Potosino de Investigaciones Científicas y Tecnológicas (IPICYT) a by its contribution and experimental data provided for this paper.

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Authors and Affiliations

  1. CIIDIT-FIME, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Mexico

    Luis M. Torres-Treviño

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  1. Luis M. Torres-Treviño
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Correspondence to Luis M. Torres-Treviño .

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Editors and Affiliations

  1. Instituto Politécnico Nacional, Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, México DF, Mexico

    Obdulia Pichardo-Lagunas

  2. INFOTEC Aguascalientes, Aguascalientes, Mexico

    Sabino Miranda-Jiménez

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Torres-Treviño, L.M. (2017). Mathematical Model of Glucose Metabolism by Symbolic Regression \(\alpha \) \(\beta \) . In: Pichardo-Lagunas, O., Miranda-Jiménez, S. (eds) Advances in Soft Computing. MICAI 2016. Lecture Notes in Computer Science(), vol 10062. Springer, Cham. https://doi.org/10.1007/978-3-319-62428-0_15

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  • DOI: https://doi.org/10.1007/978-3-319-62428-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62427-3

  • Online ISBN: 978-3-319-62428-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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