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

Felicidad Aguado
(IRLab, CITIC Research Center, University of A Coruña, Spain)
Pedro Cabalar
(IRLab, CITIC Research Center, University of A Coruña, Spain)
Jorge Fandinno
(University of Potsdam, Germany)
Brais Muñiz
(IRLab, CITIC Research Center, University of A Coruña, Spain)
Gilberto Pérez
(IRLab, CITIC Research Center, University of A Coruña, Spain)
Francisco Suárez
(Digestive Service, Complexo Hospitalario Universitario de A Coruña (CHUAC), Instituto de Investigación Biomédica de A Coruña (INIBIC), Coruña, Spain)

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.

In Bart Bogaerts, Esra Erdem, Paul Fodor, Andrea Formisano, Giovambattista Ianni, Daniela Inclezan, German Vidal, Alicia Villanueva, Marina De Vos and Fangkai Yang: Proceedings 35th International Conference on Logic Programming (Technical Communications) (ICLP 2019), Las Cruces, NM, USA, September 20-25, 2019, Electronic Proceedings in Theoretical Computer Science 306, pp. 266–272.
Published: 19th September 2019.

ArXived at: https://dx.doi.org/10.4204/EPTCS.306.31 bibtex PDF
References in reconstructed bibtex, XML and HTML format (approximated).
Comments and questions to: eptcs@eptcs.org
For website issues: webmaster@eptcs.org