Kidney exchange simulation and optimization

• Tipo: Artigo em Revista Científica Internacional
• Data: 2017

Autores

Santos, N (Autor) Outra; Tubertini, P (Autor) Outra; Viana, A (Autor) Outra; Joao Pedro Pedroso (Autor) FCUP

Revista

Título: Journal of the Operational Research Society

Vol. 68

Páginas: 1521-1532

ISSN: 0160-5682

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 14 Citações

Scopus - 18 Citações

Outras Informações

ID Authenticus: P-00M-E9P

DOI: 10.1057/s41274-016-0174-3

Abstract (EN): One of the challenges in a kidney exchange program (KEP) is to choose policies that ensure an effective and fair management of all participating patients. In order to understand the implications of different policies of patient allocation and pool management, decision makers should be supported by a simulation tool capable of tackling realistic exchange pools and modeling their dynamic behavior. In this paper, we propose a KEP simulator that takes into consideration the wide typology of actors found in practice (incompatible pairs, altruistic donors, and compatible pairs) and handles different matching policies. Additionally, it includes the possibility of evaluating the impact of positive crossmatch of a selected transplant, and of dropouts, in a dynamic environment. Results are compared to those obtained with a complete information model, with knowledge of future events, which provides an upper bound to the objective values. Final results show that shorter time intervals between matches lead to higher number of effective transplants and to shorter waiting times for patients. Furthermore, the inclusion of compatible pairs is essential to match pairs of specific patient-donor blood type. In particular, O-blood type patients benefit greatly from this inclusion.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12