A Multi-Agent System to Schedule Organ Transplant Operations
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Autores: Antonio Moreno Galindo
, Jaime Bocio, Aïda Valls Mateu
- Localización: Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, ISSN-e 1988-3064, ISSN 1137-3601, Vol. 5, Nº. 13, 2001 (Ejemplar dedicado a: Desarrollo de Sistemas Multi-Agentes), págs. 36-44
- Idioma: inglés
- DOI: 10.4114/ia.v5i13.695
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Resumen
Transplants involve many steps and many people to ensure a good result. We will focus on the management of the team that is going to make the surgical operation to implant an organ to a patient.
When a suitable recipient is found, the hospital that is going to perform the transplant must organise all the necessary items to do it: find the medical team and an available operation theatre. This task must be done in the very short period of time while the organ is in good conditions. The quick scheduling of the operation is essential to detect whether it is possible to join all the necessary items or not. In the second case, the general transplant co-ordinator must be immediately informed in order to find another patient in another hospital. We propose to use a multi-agent system to solve this scheduling task in a short period of time.
