A fuzzy logic based approach for the adjustment of insulin dosage for type 1 diabetes patients

Authors

  • Rubayat Islam Khan Department of Pharmacy, BRAC University, Dhaka, Bangladesh
  • Saif Shahriar Rahman Nirzhor Department of Pharmacy, BRAC University, Dhaka, Bangladesh
  • Ahmed Masud Chowdhury Department of Electrical & Computer Engineering, North South University, Dhaka, Bangladesh
  • Tushar Ahmed Shishir 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.pp145-152

Abstract

The primary goal of this study is to calibrate the total daily insulin dosage for type 1 diabetes patients undergoing insulin treatment regimens using a fuzzy logic based system. Three patient-related factors (PRFs), i.e. patient weight, body mass index (BMI), and average daily carbohydrate intake were identified and limned as crucial to this study. Data was collected for these three PRFs for a sample of 25 arbitrary type 1 diabetes patients and was used to develop rules for a fuzzy-based system using MATLAB. This system then generated an output insulin dose which was in turn compared to the prescribed insulin doses recommended by the patients’ personal physicians. The fuzzy-based dosing system was observed to bring about better regulation to the insulin treatment regimen for a particular patient in comparison to the traditional non-fuzzy based methods which calculate total daily insulin dose based on each PRF separately. The upshot of the study was that this system suggested better control on patient blood glucose levels for type 1 diabetes patients just as it did in type 2 diabetes patients in a previous study conducted by this group. In this study, the utilization of a fuzzy-based system allows for fewer instances of hyper and hypoglycemic events among type 1 diabetes patients as was the case for type 2 diabetes patients in our previous study

Keywords:

Insulin, Fuzzy, MATLAB, Type 1 Diabetes, Hypoglycemia, Hyperglycemia, Dose Adjustment, Drug Dosing

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Published

05-10-2017
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How to Cite

Rubayat Islam Khan, S. S. R. Nirzhor, Ahmed Masud Chowdhury, Tushar Ahmed Shishir, and Arafat Islam Khan. “A Fuzzy Logic Based Approach for the Adjustment of Insulin Dosage for Type 1 Diabetes Patients”. Journal of Innovations in Pharmaceutical and Biological Sciences, vol. 4, no. 4, Oct. 2017, pp. 145-52, doi:10.56511/JIPBS.2017.v4.i04.pp145-152.

Issue

Volume 4, Issue 4, 2017 (Oct-Dec)

Section

Research Article

Copyright (c) 2017 Rubayat Islam Khan, Saif Shahriar Rahman Nirzhor, Ahmed Masud Chowdhury, Tushar Ahmed Shishir, Arafat Islam Khan

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.