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  • 标题:A Rule-Based System for Explainable Donor-Patient Matching in Liver Transplantation
  • 本地全文:下载
  • 作者:Felicidad Aguado ; Pedro Cabalar ; Jorge Fandinno
  • 期刊名称:Electronic Proceedings in Theoretical Computer Science
  • 电子版ISSN:2075-2180
  • 出版年度:2019
  • 卷号:306
  • 页码:266-272
  • DOI:10.4204/EPTCS.306.31
  • 语种:English
  • 出版社:Open Publishing Association
  • 摘要: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.
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