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.
@article{arxiv.1909.08248,
title = {A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation},
author = {Felicidad Aguado and Pedro Cabalar and Jorge Fandinno and Brais Muñiz and Gilberto Pérez and Francisco Suárez},
journal= {arXiv preprint arXiv:1909.08248},
year = {2019}
}