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(2019): 2.740 Position: 27/71 (Q2) Category: MULTIDISCIPLINARY SCIENCES

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