Validation of artificial neural networks as a methodology for donor‐recipient matching for liver transplantation
María Dolores Ayllón, Rubén Ciria, Manuel Cruz‐Ramírez, María Pérez‐Ortiz, Irene Gómez, Roberto Valente, John O'Grady, Manuel de la Mata, César Hervás‐Martínez, Nigel D. Heaton, Javier Briceño – 16 September 2017 – In 2014, we reported a model for donor‐recipient (D‐R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in España [MADR‐E]). The aim is to test the ANN‐based methodology in a different European health care system in order to validate it.