Treatment of Diabetes Type II Using Genetic Algorithm

Authors

  • Majdoleen Al Switi Department of computer science, The University of Jordan, Amman, 11942, Jordan
  • Bahaaldeen Alshraideh Medicine department, The University of Jordan, Amman, 11942, Jordan
  • Abedalrhman Alshraideh Medicine department, The University of Jordan, Amman, 11942, Jordan
  • Abudalla Massad Medicine department, The University of Jordan, Amman, 11942, Jordan
  • Mohammad Alshraideh The University of Jordan, Amman, 11942, Jordan https://orcid.org/0000-0002-2724-9290

DOI:

https://doi.org/10.3991/ijoe.v15i11.10751

Keywords:

clinical decision support system, Genetic algorithms, Diabetes Management.

Abstract


Chronic diseases is an important research field because of the growth of the number of affected people around the world. When someone has diabetes, the body either does not make enough insulin or cannot use its own insulin as well as it should. This causes sugar to build up in blood leading to complications like heart disease, stroke, and neuropathy. Poor circulation leading to loss of limbs, blindness, kidney failure, nerve damage, and death. Diagnosis plays vital role in diabetes treatment otherwise it leads to long term complications in terms of costs of the treatment of the patients and leads to many risks over the patient himself as mentioned above. In this research we propose new methodology to extract the best testing sequence evaluation mechanism for helping doctors to evaluate their patient’s cases and make the best decisions about the medicine being given. We managed to create chromosomes population each of which consists of binary decision tree, as this implementation considered being the best scenario of our problem. The system proves its efficiency by applying it on 50 patients and the results shows accuracy percentage of 95.4%.

Author Biography

Mohammad Alshraideh, The University of Jordan, Amman, 11942, Jordan

Mohammad Aref Alshraideh is a Professor of Software Engineering in the Department o Computer Science at the University of Jordan, Jordan. He got his PhD in Software Engineering from the University of Hull (UK) in 2007. He was granted several academic projects. He has published more than thirty papers in his research areas. He participated in many workshops, seminars and conferences in the field of software engineering, and computing. His research interests Software Testing, AI,...

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Published

2019-07-16

How to Cite

Al Switi, M., Alshraideh, B., Alshraideh, A., Massad, A., & Alshraideh, M. (2019). Treatment of Diabetes Type II Using Genetic Algorithm. International Journal of Online and Biomedical Engineering (iJOE), 15(11), pp. 53–68. https://doi.org/10.3991/ijoe.v15i11.10751

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Papers