A novel approach in adjustment of total daily insulin dosage for type 2 diabetes patients using a fuzzy logic based system

Authors

  • Ahmed Masud Chowdhury Department of Electrical & Computer Engineering, North South University, Dhaka, Bangladesh
  • Rubayat Islam Khan Department of Pharmacy, BRAC University, Dhaka, Bangladesh
  • Saif Shahriar Rahman Nirzhor Department of Pharmacy, BRAC University, Dhaka, Bangladesh
  • Jafrina Jabin Department of Pharmacy, BRAC University, Dhaka, Bangladesh
  • Arafat Islam Khan Department of Aerospace Engineering, San Diego State University, San Diego, California, USA

DOI:

https://doi.org/10.56511/JIPBS.2017.v4.i04.pp65-72

Abstract

The aim of this study is to adjust the total daily insulin dosage for type 2 diabetes patients, who are already on an insulin treatment regimen, by using a fuzzy-based system. The dose is adjusted by taking into account three patient-related linguistic factors (PRFs) for 39 patients i.e. weight, body mass index (BMI), and average daily carbohydrate intake and utilizing this data to develop rules for a fuzzy-based system in MATLAB. The system was then made to generate an output which was compared to the prescribed doses of insulin by the patients’ respective physicians. The fuzzy based system was seen to bring a better regulation to the insulin treatment regimen for a particular patient as compared to the traditional non-fuzzy based methods which calculate total daily insulin dose based on each individual factor discretely. According to the output generated, the reasonable changes that this system suggested may evince better control on patient blood glucose levels. The usage of this system will allow fewer instances of hyperglycemic and hypoglycemic events among type 2 diabetes patients and may be further be translated  to type 1 diabetics.

Keywords:

Insulin, Fuzzy, MATLAB, Type 2 Diabetes, Dose Adjustment, Drug Dosing

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References

The top 10 causes of death. (2017, January). Retrieved August 11, 2017, from http://www.who.int/

Mendenhall, E, Norris, SA, Shidhaye, R, & Prabhakaran, D: Depression and Type 2 Diabetes in Low and Middle Income Countries: A Systematic Review. Diabetes Research and Clinical Practice 2014; 103(2), 276 – 285.

Patient Care & Health Information: Type 2 Diabetes. (2017, January). Retrieved August 11, 2017, from http://www.mayoclinic.org/

Albisser, AM, Schiffrin A, Schulz M, Tiran J and Leibel BS: Insulin dosage adjustment using manual methods and computer algorithms: A comparative study. Med. Biol. Eng. Computing 1986; 24: 577-584.

Fabietti, PG and V Canonico: Control oriented model of insulin and glucose dynamics in type 1 diabetics. Med. Biol. Eng. Computing 2006; 44: 66-78.

Garber AJ, Moghissi ES, Bransome ED, et al. American College of Endocrinology position statement on inpatient diabetes and metabolic control. Endocr Pract. 2004; 10(1):77-82.

Jayaraj, N, Cherian CM and Vaidyanathan SG: Intelligent Insulin Infuser. Proceedings of the Third UKSim European Symposium on Computer Modeling and Simulation 2009; 74-78.

Xu, Z, Liu S, Gan Z, Ma B and Liu G et al: An integrated intelligent insulin pump. Proceeding of the 7th International Conference on Electronic Packaging Technology, Shanghai 2009; 1-5.

Yang, R, Zhang M and Tarn TJ: Adaptive backstepping control of a micro-needle micro-pump integrated insulin delivery system for diabetes care. Proceedings of the 7th IEEE Conference on Nanotechnology Hong Kong 2007; 448-453.

Goh, W, Pasquier M and Quek C: Adaptive control of infusion pump for type-i diabetes control using a self-tuning regulator. Proceeding of the 10th International Conference on Control, Automation, Robotics and Vision 2008; 13791384.

Zelin, S, Jun GH and Norwich KH: The glucose control mechanism viewed as a regulator. Med. Biol. Eng. Computing 1975; 13: 503-508.

Moghissi E, et al: ACE / ADA Inpatient Diabetes and Glycemic Control Consensus Statement: Garber A. American College of Endocrinology and American Diabetes Association Consensus statement on inpatient diabetes and glycemic control: a call to action. Diabetes Care 2006; 29(8):1955-62.

Clement S, Braithwaite SS, Magee MF et al: American Diabetes Association Diabetes in Hospitals Writing Committee. Management of diabetes and hyperglycemia in hospitals. Diabetes Care 2004; 27: 553-91.

Rubin, DJ, Rybin, D, Doros, G, & McDonnell, ME: Weight-Based, Insulin Dose – Related Hypoglycemia in Hospitalized Patients with Diabetes. Diabetes Care 2011; 34(8): 1723 – 1728.

Elaine C and Phillip G: Use of U-500 insulin in the treatment of severe insulin resistance. Insulin 2008; 3(4): 211-218.

Published

05-10-2017
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How to Cite

Ahmed Masud Chowdhury, Rubayat Islam Khan, S. S. R. Nirzhor, Jafrina Jabin, and Arafat Islam Khan. “A Novel Approach in Adjustment of Total Daily Insulin Dosage for Type 2 Diabetes Patients Using a Fuzzy Logic Based System”. Journal of Innovations in Pharmaceutical and Biological Sciences, vol. 4, no. 4, Oct. 2017, pp. 65-72, doi:10.56511/JIPBS.2017.v4.i04.pp65-72.

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Research Article