A rule-based system for explainable donor-patient matching in liver transplantation
Title
A rule-based system for explainable donor-patient matching in liver transplantationAuthor(s)
Date
2019-09Citation
F. Aguado, P. Cabalar, J. Fandinno, B. Muñiz, G. Pérez, and F. Suárez, "A rule-based system for explainable donor-patient matching in liver transplantation", presented at 35th International Conference on Logic Programming (Technical Communications), ICLP 2019, Las Cruces, 20-25 September 2019, Electronic Proceedings in Theoretical Computer Science, EPTCSO, Vol. 306, 19 Sept. 2019, Pp. 266 - 272, doi: 10.4204/EPTCS.306.31
Abstract
[Abstract]: In this paper we present web-liver, a rule-based system for decision support in the medical domain, focusing on its application in a liver transplantation unit for implementing policies for donor-patient matching. The rule-based system is built on top of an interpreter for logic programs with partial functions, called lppf, that extends the paradigm of Answer Set Programming (ASP) adding two main features: (1) the inclusion of partial functions and (2) the computation of causal explanations for the obtained solutions. The final goal of web-liver is assisting the medical experts in the design of new donor-patient matching policies that take into account not only the patient severity but also the transplantation utility. As an example, we illustrate the tool behaviour with a set of rules that implement the utility index called SOFT.
Keywords
Computation theory
Computer circuits
Decision support systems
Program interpreters
Computer circuits
Decision support systems
Program interpreters
Editor version
Rights
Atribución 3.0 España