Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals
Published in PLoS One, 2020
Recommended citation: Antonio Rivero-Juárez, David Guijo-Rubio, Francisco Téllez, Rosario Palacios, Dolores Merino, Juan Macías, Juan Carlos Fernández, Pedro Antonio Gutiérrez, Antonio Rivero, César Hervás-Martínez, "Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals." PLoS One, Vol. 15(1), 2020, pp.e0227188. http://doi.org/10.1371/journal.pone.0227188
JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES