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Electre Tri-C, a multiple criteria decision aiding sorting model applied to assisted reproduction
J R Figueira1, J Almeida-Dias, S Matias
1INPL, École des Mines de Nancy, Laboratoire LORIA, Nancy, France.
International Journal of Medical Informatics
|February 8, 2011
Summary
An informatics tool, Electre Tri-C, aids infertile couples undergoing assisted reproduction by categorizing embryo transfers. This decision support system aims to increase single pregnancy rates while reducing multiple births.
Area of Science:
- Informatics
- Reproductive Medicine
- Decision Science
Background:
- Assisted reproduction technologies (ART) aim to help infertile couples conceive.
- Current ART practices face challenges in optimizing pregnancy outcomes, balancing single vs. multiple pregnancies.
Purpose of the Study:
- To apply an informatics tool for medical decision aiding in assisted reproduction.
- To assist infertile couples in achieving parenthood through optimized embryo transfer strategies.
Main Methods:
- Utilized the Electre Tri-C multiple criteria decision aiding method for ordinal classification.
- Co-constructed a decision aiding sorting model through collaboration between informatics analysts and medical experts.
- Assigned couples to embryo-transfer categories to enhance single pregnancy rates and minimize multiple pregnancies.
Main Results:
- The Electre Tri-C method achieved a unique category assignment in 86% of cases with 61% sorting accuracy.
- Current ART methodology resulted in a 47% single pregnancy rate and a 14% twin pregnancy rate.
- Medical experts acknowledged potential shifts in their embryo transfer judgments based on the tool's results.
Conclusions:
- The informatics tool shows promise in supporting ART medical decisions.
- Refinement of criteria, involving expertise and time, is crucial for the decision aiding model.
- The tool can play a significant role in increasing single pregnancies and reducing multiple pregnancies in ART.
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