2019/09/18 by Felicidad Aguado, Pedro Cabalar, Jorge Fandinno +3
Computer Science · #cs.AI #cs.LO #cs.PL
paper · pdf · doi:10.4204/eptcs.306.31
published as EPTCS 306, 2019, pp. 266-272 · In Proceedings ICLP 2019, arXiv:1909.07646
arxiv created 2019/09/18 · arxiv updated 2019/09/19
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.