eHealth Services Based on Monte Carlo Algorithms to Anticipate and Lessen the Progress of Type-2 Diabetes

  • Huber Nieto-ChaupisEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 833)


We present a computer-based eHealth system expected to provide tele-consults aimed to reduce complications due to the diabetes disease in adult population mainly between 30 and 60 years old. The software of the tele-consultations system which is essentially based in probabilities is entirely based in the Monte Carlo technology. This stochastic method is supported with a mathematical model which is build through acquired data that allows us to model and carry out predictions on the glucose’s values in time within a certain statistical error. The idea behind of this eHealth system is the rapid identification of those people with a potential risk to acquire complications derived from the high values of glucose in time. The conclusion derived from this study supports the fact that opportune intervention derived from the tele-consultations might alleviate and to improve the diabetes treatment by employing simple low-cost mobile phones and minimal software applications. We illustrated the prospective implementation of this tele-care system with simulations for people with an old diagnosis of diabetes and demonstrating the prospective role o these eHealth systems aimed to improve the quality of life in the middle and long term. From a combined sample composed by acquired data and Monte Carlo, 3 from 4 diabetes patients might be keeping a desirable control of their glucose’s values with a continuous assistance of an eHealth system.


Monte Carlo Teleconsult Type-2 diabetes 


  1. 1.
    Vistisien, D., et al.: Patterns of obesity development before the diagnosis of type 2 diabetes: the Whitehall II cohort study. Plos Med. 11(2), e1001602 (2014)CrossRefGoogle Scholar
  2. 2.
    Hanefel, M.: Use of insulin in type 2 diabetes: what we learned from recent clinical trials on the benefits of early insulin initiation. Diabetes Metab. 40, 391–399 (2014)CrossRefGoogle Scholar
  3. 3.
    Megías, M.C.: Influence of macrolides, nutritional support and respiratory therapies in diabetes and normal glucose tolerance in cystic brosis. A retrospective analysis of a cohort of adult and younger patients. Diabetes Metab. Syndr. Clin. Res. Rev. 9, 1–6 (2015)CrossRefGoogle Scholar
  4. 4.
    Chen, L.: Effect of lifestyle intervention in patients with type 2 diabetes: a meta-analysis. Metab. Clin. Exp. 64, 338–347 (2015)CrossRefGoogle Scholar
  5. 5.
    Sullivan, T., et al.: The co-management of tuberculosis and diabetes: challenges and opportunities in the developing world. PLoS Med. 9(7), e1001269 (2012)CrossRefGoogle Scholar
  6. 6.
    Kamsu, B.: Systemic modeling in telemedicine. Eur. Res. Telemed. 3(2), 57–65 (2014)CrossRefGoogle Scholar
  7. 7.
    Kropf, N., et al.: Telemedicine for older adults. Home Health Care Serv. Q. 17(4), 1–11 (1999)MathSciNetCrossRefGoogle Scholar
  8. 8.
    Kim, T.H., Lee, H.H.: Is telemedicine a worldwide trend? Arch. Gynecol. Obstet. 289(5), 925–926 (2014)CrossRefGoogle Scholar
  9. 9.
    Meneghini, L., Kesavadev, J., Demissie, M., Nazeri, A., Hollander, P.: Oncedaily initiation of basal insulin as add-on to metformin: a 26-week, randomized, treat-to-target trial comparing insulin detemir with insulin glargine in patients with type 2 diabetes. Diabetes Obes. Metab. 15, 729–36 (2013)CrossRefGoogle Scholar
  10. 10.
    Jeon, C., et al.: Diabetes mellitus increases the risk of active tuberculosis: a systematic review of 13 observational studies. PLoS Med. 5(7), e152 (2008)CrossRefGoogle Scholar
  11. 11.
    Rispin, C.M.: Management of blood glucose in type 2 diabetes mellitus. Am. Fam. Phys. 79(1) (2009)Google Scholar
  12. 12.
    Palmer, A.J.: Computer modeling of diabetes and its complications. Diabetes Care 30(6), 1638–1646 (2007)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Center of Research eHealthUniversidad de Ciencias y HumanidadesLos OlivosPeru

Personalised recommendations