A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation

• Main Authors: Felicidad Aguado, Pedro Cabalar, Jorge Fandinno, Brais Muñiz, Gilberto Pérez, Francisco Suárez
• Format: Article
• Language: English
• Published: Open Publishing Association 2019-09-01
• Series: Electronic Proceedings in Theoretical Computer Science
• Online Access: http://arxiv.org/pdf/1909.08248v1

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.