A Proposed Web-Based Architecture for Diabetes Awareness, Prevention, and Management

  • Md. Ariful IslamEmail author
  • Syed Akhter Hossain
  • Khondaker Abdullah Al Mamun
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 755)


Diabetes is a growing concern and number of diabetes patient is increasing worldwide. Diabetes causes complication which leads to death in a long term. Proper lifestyle management is the key to control this disease. Treatment of diabetes is costly and complication caused by diabetes requires additional treatment. In developing countries, the situation is even worse. To address this problem, an innovative and cost-effective solution is required which will prevent diabetes and helps patient to modify their lifestyle. Web-based architecture can be very fruitful in this regard as it can be accessed from anywhere with IT enabled devices. With the existing infrastructure it can be used as a tool to create awareness, share knowledge and it can also help people to manage their lifestyle effectively. Interactive web-based platform can be used to show tips, diet measurement information and generate preventive measures. In this paper we have reviewed ICT enabled services and articles for diabetes awareness and prevention and proposed a web-based framework that can be used for screening diabetes and educating people about it. We are optimistic that, our proposed framework can improve the healthcare services and reduce the cost of healthcare making life easier.



This is to acknowledge that, this research has been carried out with the funding of ICT Division, Bangladesh and help and support from AIMS Lab, United International University and Daffodil International University.


  1. 1.
    Anand, A., Muthukrishnan, C., Akella, A., Ramjee, R.: Redundancy in network traffic: findings and implications. In: Proceedings of the SIGMETRICS/Performance’09, pp. 37–48 (2009)Google Scholar
  2. 2.
    Mohan, P., Padmanabhan, V.N., Ramjee, R.: Nericell: rich monitoring of road and traffic conditions using mobile smartphones. In: Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems—SenSys’08, p. 323 (2008)Google Scholar
  3. 3.
    Ahmad, F.S., Tsang, T.: Diabetes prevention, health information technology, and meaningful use: challenges and opportunities. Am. J. Prev. Med., 44(4) Suppl. 4, S357–S363 (2013)Google Scholar
  4. 4.
    Basar, M.A., Alvi, H.N., Bokul, G.N., Khan, M.S., Anowar, F., Huda, M.N., Al Mamun, K.A.: A review on diabetes patient lifestyle management using mobile application. In: 2015 18th International Conference on Computer Information Technology, pp. 379–385, September 2015Google Scholar
  5. 5.
    Guo, S.H.-M., Chang, H.-K., Lin, C.-Y.: Impact of mobile diabetes self-care system on patients’ knowledge, behavior and efficacy. Comput. Ind. 69, 22–29 (2015)CrossRefGoogle Scholar
  6. 6.
    Global Report on Diabetes: World Health Organization. (2016)
  7. 7.
    Mohan, P., Padmanabhan, V.N., Ramjee, R.: TrafficSense: rich monitoring of road and traffic conditions using mobile smartphones. In: 6th ACM Conference on Embedded Network Sensor Systems, pp. 1–29 (2008)Google Scholar
  8. 8.
    Boulos, M.N.K., Wheeler, S., Tavares, C., Jones, R.: How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed. Eng. 10(1), 24 (2011)Google Scholar
  9. 9.
    Almarabeh, T., Rajab, L., Majdalawi, Y.K.: Awareness and usage of computer and internet among medical faculties’ students at the University of Jordan. J. Softw. Eng. Appl. 9(May), 147–154 (2016)CrossRefGoogle Scholar
  10. 10.
    Korda, H., Itani, Z.: Harnessing social media for health promotion and behavior change. Health Promot. Pract. 14(1), 15–23 (2013)CrossRefGoogle Scholar
  11. 11.
    Khurshid, A., Brown, L., Mukherjee, S., Abebe, N., Kulick, D.: Texting for health: an evaluation of a population approach to type 2 diabetes risk reduction with a personalized message. Diabetes Spectr. 28(4), 268–275 (2015)CrossRefGoogle Scholar
  12. 12.
    Rai, A., Chintalapudi, K. K., Padmanabhan, V.N., Sen, R.: Zee: zero-effort crowdsourcing for indoor localization. In: Proceedings of the 18th Annual International Conference on Mobile Computing Netwoking—Mobicom’12, p. 293 (2012)Google Scholar
  13. 13.
    Johnston, D.G.: Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: a prospective, parallel-group, randomised controlled trial. Lancet Diabetes Endocrinol. 1(March 2016), 191–198 (2013)Google Scholar
  14. 14.
    Kwon, H.S., Cho, J.H., Kim, H.S., Song, B.R., Ko, S.H., Lee, J.M., Kim, S.R., Chang, S.A., Kim, H.S., Cha, B.Y.: Establishment of blood glucose monitoring system using the internet. Diabetes Care, 27(2), 478–483 (2004)Google Scholar
  15. 15.
    Chen, P., Chai, J., Cheng, J., Li, K., Xie, S., Liang, H., Shen, X., Feng, R., Wang, D.: A smart web aid for preventing diabetes in rural China: preliminary findings and lessons. J. Med. Internet Res. 16(4), e98 (2014)CrossRefGoogle Scholar
  16. 16.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Md. Ariful Islam
    • 1
    Email author
  • Syed Akhter Hossain
    • 2
  • Khondaker Abdullah Al Mamun
    • 1
  1. 1.AIMS Lab, Department of Computer Science and EngineeringUnited International UniversityDhakaBangladesh
  2. 2.Department of Computer Science and EngineeringDaffodil International UniversityDhakaBangladesh

Personalised recommendations