Explainable artificial neural networks improve the performance of the Gender-Equity Model for liver Allocation (GEMA) to prioritize candidates for liver transplantation
Published:
(JCR: 5.1)
Recommended citation: M. Rodríguez-Perálvarez, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, A. Majumdar, G. McCaughan, R. Taylor, E.A. Tsochatzis, César Hervás-Martínez, "Explainable artificial neural networks improve the performance of the Gender-Equity Model for liver Allocation (GEMA) to prioritize candidates for liver transplantation." In ILTS Annual Congress 2024, Vol. 30, 2024, pp.1--309. http://journals.lww.com/lt/citation/2024/09001/ilts_annual_congress_2024_abstracts.1.aspx