Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors

M. Rivera-Gavilán, V. Vargas , P. Gutiérrez, J. Briceño, C. Hervás-Martínez, D. Guijo-Rubio

International work-conference on artificial neural networks, pp. 517-528, 2023

Abstract

This paper tackles the Donor-Recipient (D-R) matching for Liver Transplantation (LT). Typically, D-R matching is performed following the knowledge of a team of experts guided by the use of a prioritisation system. One of the most extended, the Model for End-stage Liver Disease (MELD), aims to decrease the mortality in the waiting list. However, it does not take into account the result of the transplant. In this sense, with the aim of developing a system able to bear in mind the survival benefit, we propose to treat the problem as an ordinal classification one. The organ survival will be predicted at four different thresholds. The results achieved demonstrate that ordinal classifiers are capable of outperforming nominal approaches in the state-of-the-art. Finally, this methodology can help experts make more informed decisions about the appropriateness of assigning a recipient for a specific donor, maximising the probability of post-transplant survival in LT.

Cite this publication
BibTex
@inproceedings{rivera-gavilan2023ordinal,
    author = {Marcos Rivera-Gavilán and Víctor Manuel Vargas and Pedro Antonio Gutiérrez and Javier Briceño and César Hervás-Martínez and David Guijo-Rubio},
    title = {Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors},
    booktitle = {International work-conference on artificial neural networks},
    year = {2023},
    pages = {517--528},
    doi = {10.1007/978-3-031-43078-7_42}
}
APA
Rivera-Gavilán, M., Vargas, V., Gutiérrez, P., Briceño, J., Hervás-Martínez, C., Guijo-Rubio, D. (2023). Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors. In International work-conference on artificial neural networks (pp. 517-528).
CV
M. Rivera-Gavilán, V.M. Vargas (CA), P.A. Gutiérrez, J. Briceño, C. Hervás-Martínez, D. Guijo-Rubio, (2/6) "Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors". International work-conference on artificial neural networks, pp. 517-528, 2023.
RIS
TY  - CONF
T1  - Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors
T2  - International work-conference on artificial neural networks
AU  - Rivera-Gavilán, Marcos
AU  - Vargas, Víctor Manuel
AU  - Gutiérrez, Pedro Antonio
AU  - Briceño, Javier
AU  - Hervás-Martínez, César
AU  - Guijo-Rubio, David
JO  - International work-conference on artificial neural networks
JA  - International work-conference on artificial neural networks
Y1  - 2023
PY  - 2023
SP  - 517
EP  - 528
DO  - 10.1007/978-3-031-43078-7_42
ER  -