Abstract
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.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
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)
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)
Chen, L.: Effect of lifestyle intervention in patients with type 2 diabetes: a meta-analysis. Metab. Clin. Exp. 64, 338–347 (2015)
Sullivan, T., et al.: The co-management of tuberculosis and diabetes: challenges and opportunities in the developing world. PLoS Med. 9(7), e1001269 (2012)
Kamsu, B.: Systemic modeling in telemedicine. Eur. Res. Telemed. 3(2), 57–65 (2014)
Kropf, N., et al.: Telemedicine for older adults. Home Health Care Serv. Q. 17(4), 1–11 (1999)
Kim, T.H., Lee, H.H.: Is telemedicine a worldwide trend? Arch. Gynecol. Obstet. 289(5), 925–926 (2014)
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)
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)
Rispin, C.M.: Management of blood glucose in type 2 diabetes mellitus. Am. Fam. Phys. 79(1) (2009)
Palmer, A.J.: Computer modeling of diabetes and its complications. Diabetes Care 30(6), 1638–1646 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Nieto-Chaupis, H. (2018). eHealth Services Based on Monte Carlo Algorithms to Anticipate and Lessen the Progress of Type-2 Diabetes. In: Orjuela-Cañón, A., Figueroa-García, J., Arias-Londoño, J. (eds) Applications of Computational Intelligence. ColCACI 2018. Communications in Computer and Information Science, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-030-03023-0_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-03023-0_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03022-3
Online ISBN: 978-3-030-03023-0
eBook Packages: Computer ScienceComputer Science (R0)