We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Online Support System for Diabetes Management

by O. A. Adeyemo, O. N. Gidi-Fanimokun, J. O. Alabi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 152 - Number 10
Year of Publication: 2016
Authors: O. A. Adeyemo, O. N. Gidi-Fanimokun, J. O. Alabi
10.5120/ijca2016911454

O. A. Adeyemo, O. N. Gidi-Fanimokun, J. O. Alabi . Online Support System for Diabetes Management. International Journal of Computer Applications. 152, 10 ( Oct 2016), 6-11. DOI=10.5120/ijca2016911454

@article{ 10.5120/ijca2016911454,
author = { O. A. Adeyemo, O. N. Gidi-Fanimokun, J. O. Alabi },
title = { Online Support System for Diabetes Management },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 152 },
number = { 10 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume152/number10/26353-2016911454/ },
doi = { 10.5120/ijca2016911454 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:57:48.199770+05:30
%A O. A. Adeyemo
%A O. N. Gidi-Fanimokun
%A J. O. Alabi
%T Online Support System for Diabetes Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 152
%N 10
%P 6-11
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Diabetes Mellitus requires regular monitoring to effectively reduce the risk of complications and improve the quality of life of the patient. The management of chronic diseases such as diabetes plays an important role in their prevention. Information and Communication Technology (ICT) plays an important role in general healthcare delivery and management, and the use of online systems in the monitoring of patients is considered an important tool in facilitating improvements in diabetes care; hence, a design of an online support system was done for diabetes management. This paper presents the development of an online support system for diabetes management which allows a diabetes patient to provide detailed information regarding treatment regimens such as blood glucose level at regular intervals, blood pressure level, and the food intake among others. The scheduler module of the system uses a flexible scheduler algorithm based on the First-come-First Serve basis. The system was designed using HTML, CSS, PHP and MySQL.

References
  1. Akter, M., and Uddin, M. S. (2015). Android-based Diabetes Management System. International Journal of Computer Applications, 110 (10).
  2. Benjamin, E. M. (2002). Self-monitoring of blood glucose: the basics. Clinical diabetes, 20(1), 45-47.
  3. Chalortham, N., Buranarach, M., and Supnithi, T. (2009, November). Ontology development for type II diabetes mellitus clinical support system. In 4th International Conference on Knowledge Information and Creativity Support System.
  4. Fonseca, V. A. (2009). Defining and characterizing the progression of type 2 diabetes. Diabetes care, 32(2), 151-156.
  5. Franklin, V., and Greene, S. (2007). Sweet talk: a text messaging support system. Journal of Diabetes Nursing, 11(1), 22-26.
  6. Hanauer, D. A., Wentzell, K., Laffel, N., and Laffel, L. M. (2009). Computerized Automated Reminder Diabetes System (CARDS): e-mail and SMS cell phone text messaging reminders to support diabetes management. Diabetes technology and therapeutics, 11(2), 99-106.
  7. Kwon, H. S., Cho, J. H., Kim, H. S., Lee, J. H., Song, B. R., Oh, J. A. and Son, H. Y. (2004). Development of web-based diabetes patient management system using short message service (SMS). Diabetes Research and Clinical Practice, 66, 133-137.
  8. Lee, M., Gatton, T. M., and Lee, K. K. (2010). A monitoring and advisory system for diabetes patient management using a rule-based method and KNN. Sensors, 10(4), 3934-3953.
  9. Liu, L., Tang, J., Cheng, Y., Agrawal, A., Liao, W. K., and Choudhary, A. (2013). Mining diabetes complication and treatment patterns for clinical decision support. In Proceedings of the 22nd ACM international conference on Information and Knowledge Management pp. 279-288.
  10. Park, K. S., Kim, N. J., Hong, J. H., Park, M. S., Cha, E. J., and Lee, T. S. (2006). PDA based point-of-care personal diabetes management system. In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 3749-3752. IEEE.
  11. Rudi, R., and Celler, B. G. (2006). Design and implementation of expert-telemedicine system for diabetes management at home. In 2006 International Conference on Biomedical and Pharmaceutical Engineering, 595-599. IEEE.
  12. Sahar, F. (2013). Web Based Intelligent Decision Support System for Type 2 Diabetes Patients. International Journal of Engineering and Technology, 5(5), 527-531.
  13. Salameh, O. (2012). A Mobile Phone SMS-Based System for Diabetes Self Management. Int. Arab J. e-Technol., 2(3), 161-166.
  14. Uddin, M. S., and Akter, M. (2010). Development of a Knowledge-Based Diagnosis and Management System for Diabetes Mellitus through Web. Ulab Journal of Science and Engineering,37-41.
Index Terms

Computer Science
Information Sciences

Keywords

ICT Diabetes Mellitus Online Support Systems Patients Doctors.

Powered by PhDFocusTM