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BMC Nephrology|August 27, 2024
How artificial intelligence is transforming nephrologyMiguel Hueso, Alfredo VellidoRevista De Investigacion Clinica; Organo Del Hospital De Enfermedades De La Nutricion|September 21, 2023
Is generative artificial intelligence the next step toward a personalized hemodialysis?Miguel Hueso, Rafael Álvarez, David Marí, et al.Kidney Diseases (Basel, Switzerland)|March 30, 2018
Artificial Intelligence for the Artificial Kidney: Pointers to the Future of a Personalized Hemodialysis TherapyMiguel Hueso, Alfredo Vellido, Nuria Montero, et al.Neural Networks : the Official Journal of the International Neural Network Society|April 4, 2006
Missing data imputation through GTM as a mixture of t-distributionsAlfredo VellidoKidney Diseases (Basel, Switzerland)|March 1, 2019
Societal Issues Concerning the Application of Artificial Intelligence in MedicineAlfredo VellidoKidney Diseases (Basel, Switzerland)|December 14, 2020
Leveraging Data Science for a Personalized HaemodialysisMiguel Hueso, Lluís de Haro, Jordi Calabia, et al.Neural Networks : the Official Journal of the International Neural Network Society|July 26, 2008
Advances in clustering and visualization of time series using GTM through timeIván Olier, Alfredo VellidoBiodata Mining|August 1, 2024
Understanding predictions of drug profiles using explainable machine learning modelsCaroline König, Alfredo VellidoBiomedical Engineering Online|August 24, 2017
Using random forests for assistance in the curation of G-protein coupled receptor databasesAleksei Shkurin, Alfredo VellidoKidney Diseases (Basel, Switzerland)|March 1, 2019
Blood Pressure Assessment with Differential Pulse Transit Time and Deep Learning: A Proof of ConceptVicent Ribas Ripoll, Alfredo VellidoPageof 8