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Kidney Compatibility Score Generation for a Donor - Recipient pair using Fuzzy Logic

Yellanki, Sampath Kumar
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345153510

Abstract Details

2012, Master of Science in Engineering, University of Toledo, College of Engineering.
This thesis, proposes and implements a Fuzzy Logic based Hierarchical model to address the problem of filtering the donor recipient pairs by predicting a kidney compatibility score. Donor – Recipient pair incompatibility is one of the major problems encountered in Renal Transplantation. Kidney Paired Donation is a barter system where the pairs exchange the donor organs to overcome the disadvantage of incompatibility. Identification of such pairs requires a Kidney Transplant Surgeon to evaluate the compatibility of swapped pairs. Unfortunately, such incompatible pairs run into huge numbers which is a herculean task for a surgeon and can prone to human fatigue. This work presents a Hierarchical System developed based on Fuzzy Logic to determine the quality of a Kidney Transplant based on various input parameters. A surgeon’s expertise in selecting the incompatible pairs is captured and embedded in this model in the form of rules. Fuzzy membership functions are designed to reflect the characteristics of input parameters. This model has been tested on several data sets. The pairs selected based on the kidney compatibility scores matched with the surgeon’s choice in most of the cases. This application provides many options to explore in future.
Devinder Kaur (Committee Chair)
Michael Rees (Committee Member)
Ezzatollah Salari (Committee Member)
133 p.
Artificial Intelligence
Paired Kidney Donation; Fuzzy Logic; Combs Method; Kidney Incompatibility; Kidney Compatibility Score; Rule Explosion

Recommended Citations

Citations

  • Yellanki, S. K. (2012). Kidney Compatibility Score Generation for a Donor - Recipient pair using Fuzzy Logic [Master's thesis, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345153510

    APA Style (7th edition)

  • Yellanki, Sampath. Kidney Compatibility Score Generation for a Donor - Recipient pair using Fuzzy Logic. 2012. University of Toledo, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345153510.

    MLA Style (8th edition)

  • Yellanki, Sampath. "Kidney Compatibility Score Generation for a Donor - Recipient pair using Fuzzy Logic." Master's thesis, University of Toledo, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345153510

    Chicago Manual of Style (17th edition)

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© 2012, all rights reserved.
This open access ETD is published by University of Toledo and OhioLINK.