Show simple item record

dc.contributor.authorPlancha, C.E.
dc.contributor.authorCarvalho, M.J.
dc.contributor.authorMatias, S.
dc.contributor.authorAlmeida Dias, Juscelino
dc.contributor.authorRoy, Bernard
dc.contributor.authorFigueira, José
dc.subjectElectre Tri-Cen
dc.subjectSorting problemsen
dc.subjectMultiple criteria decision aidingen
dc.subjectRisk of multiple pregnanciesen
dc.subjectAssisted reproductive technologyen
dc.titleElectre Tri-C, a multiple criteria decision aiding sorting model applied to assisted reproductionen
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherUnidade Biologia da Reproduc ¸ão, Instituto Histologia e Biologia do Desenvolvimento, Faculty of Medicine, University of Lisbon;Portugal
dc.contributor.editoruniversityotherCEMEARE, Centro Médico de Assistência à Reproduc ¸ão;Portugal
dc.contributor.editoruniversityotherInstituto Superior Técnico, Universidade Técnica de Lisboa;Portugal
dc.contributor.editoruniversityotherCEG-IST, Instituto Superior Técnico, Universidade Técnica de Lisboa;Portugal
dc.contributor.editoruniversityotherINPL, École des Mines de Nancy;France
dc.description.abstractenObjective: The aim of this paper is to apply an informatics tool for dealing with a medical decision aiding problem to help infertile couples to become parents, when using assisted reproduction. Methods: Amultiple criteria decision aidingmethod for sorting or ordinal classification prob- lems, called Electre Tri-C, was chosen in order to assign each couple to an embryo-transfer category. The set of categories puts in evidence a way for increasing the single pregnancy rate, while minimizing multiple pregnancies. The decision aiding sorting model was co- constructed through an interaction process between the decision aiding analysts and the medical experts. Results: According to the sample used in this study, the Electre Tri-C method provides a unique category in 86% of the cases and it achieves a sorting accuracy of 61%. Retrospec- tively, themedical experts do agree that some of their judgments concerning the number of embryos to transfer back to the uterus of the woman could be different according to these results. The current ART methodology achieves a single pregnancy rate of 47% and a twin pregnancy rate of 14%. Thus, this informatics tools may play an important role for support- ing ART medical decisions, aiming to increase the single pregnancy rate, while minimizing multiple pregnancies. Limitations: Building the set of criteria comprises a part of arbitrariness and imperfect knowl- edge,which require time and expertise to be refined.Among them, three criteria aremodeled by means of a holistic classification procedure by the medical experts.en
dc.relation.isversionofjnlnameInternational Journal of Medical Informatics
dc.subject.ddclabelRecherche opérationnelleen

Files in this item


There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record