Multi-Criteria Decision Making support system for pancreatic islet transplantation

Giada La Scalia, Giuseppe Aiello, Cristiana Rastellini, Rosa Micale, Luca Cicalese

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Pancreatic islet transplantation consists of replacing insulin-producing cells to restore normal glycemia in diabetic patients. This is a minimal invasive procedure that has been proved successful. Unfortunately unpredictability of islet transplant outcome remains a frustrating and costly issue limiting the clinical implementation of this procedure. Multiple variables are involved in the procedure and assessment is subjective to individual operators. The aim of this study was to generate a system expressing the probability of transplant success in relation to four classes of identified variables (donor, organ, isolation and recipient). We have proposed the utilization of Multi-Criteria Decision Making methods (MCDM) as a powerful tool for evaluating pancreatic islet transplant-related information with the goal to achieve optimal decision. Technique Ordered Preference by Similarity to the Ideal Solution (TOPSIS), one of the most widely used MCDM methods in decision support systems, was here utilized with modification to fit better in a medical system. In our modified method, we have utilized fuzzy logic in order to consider uncertain and vague data.

Original languageEnglish (US)
Pages (from-to)3091-3097
Number of pages7
JournalExpert Systems with Applications
Volume38
Issue number4
DOIs
StatePublished - Apr 1 2011

Keywords

  • Decision making
  • Fuzzy TOPSIS
  • Pancreatic islets transplantation

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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