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

Authors

M. Rivera-Gavilán

Víctor Manuel Vargas-Yun

Pedro Antonio Gutiérrez

J. Briceño

César Hervás-Martínez

David Guijo-Rubio

Conference Proceedings

IWANN 2023: Advances in computational intelligence

Vol. 14135

Pages 517–528

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 to make more informed decisions about the appropriateness of assigning a recipient for a specific donor, maximising the probability of post-transplant survival in LT.

Keywords

donor-recipient matching liver transplantation ordinal binary decomposition ordinal classification

BibTex Citation

@inproceedings{Rivera2023Ordinal,
	author = {Rivera-Gavil{\' a}n, M. and Vargas-Yun, V{\' i}ctor Manuel and Guti{\' e}rrez, Pedro Antonio and Brice{\~ n}o, J. and Herv{\' a}s-Mart{\' i}nez, C{\' e}sar and Guijo-Rubio, David},
	booktitle = {IWANN 2023: Advances in computational intelligence},
	doi = {10.1007/978-3-031-43078-7_42},
	year = {2023},
	pages = {517--528},
	organization = {Springer},
	title = {Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors},
	url = {https://link.springer.com/chapter/10.1007/978-3-031-43078-7_42},
	volume = {14135},
}

BibTex Unicode Citation

@inproceedings{Rivera2023Ordinal,
	author = {Rivera-Gavilán, M. and Vargas-Yun, Víctor Manuel and Gutiérrez, Pedro Antonio and Briceño, J. and Hervás-Martínez, César and Guijo-Rubio, David},
	booktitle = {IWANN 2023: Advances in computational intelligence},
	doi = {10.1007/978-3-031-43078-7_42},
	year = {2023},
	pages = {517--528},
	organization = {Springer},
	title = {Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors},
	url = {https://link.springer.com/chapter/10.1007/978-3-031-43078-7_42},
	volume = {14135},
}

APA Citation

Rivera-Gavilán, M., Vargas-Yun, V. M., Gutiérrez, P. A., Briceño, J., Hervás-Martínez, C., & Guijo-Rubio, D. (2023). Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors. IWANN 2023: Advances in Computational Intelligence, 14135, 517–528. https://doi.org/10.1007/978-3-031-43078-7_42

RIS Citation

TY  - CONF
AU  - Rivera-Gavilán, M.
AU  - Vargas-Yun, Víctor Manuel
AU  - Gutiérrez, Pedro Antonio
AU  - Briceño, J.
AU  - Hervás-Martínez, César
AU  - Guijo-Rubio, David
C3  - IWANN 2023: Advances in computational intelligence
DA  - 2023///
C2  - 2023
DO  - 10.1007/978-3-031-43078-7_42
ID  - temp_id_598983303482
PB  - Springer
SP  - 517-528
TI  - Ordinal classification approach for donor-recipient matching in liver 
transplantation with circulatory death donors
UR  - https://link.springer.com/chapter/10.1007/978-3-031-43078-7_42
VL  - 14135
ER  -

CV Citation

M. Rivera-Gavilán, V.M. Vargas-Yun (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". IWANN 2023: Advances in computational intelligence, pp. 517–528, 2023.