@article{VIH-ANN2020,
author = "Antonio Rivero-Ju{\'a}rez and David Guijo-Rubio and Francisco T{\'e}llez and Rosario Palacios and Dolores Merino and Juan Mac{\'i}as and Juan Carlos Fern{\'a}ndez and Pedro Antonio Guti{\'e}rrez and Antonio Rivero and C{\'e}sar Herv{\'a}s-Mart{\'i}nez",
awards = "JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES",
comments = "JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES",
doi = "10.1371/journal.pone.0227188",
issn = "1932-6203",
journal = "PLoS One",
keywords = "Hepatitis C Virus, Artificial Neural Networks, Typology of patients",
note = "JCR(2020): 3.240 Position: 26/73 (Q2) Category: MULTIDISCIPLINARY SCIENCES",
number = "1",
pages = "e0227188",
title = "{U}sing machine learning methods to determine a typology of patients with {HIV}-{HCV} infection to be treated with antivirals",
url = "doi.org/10.1371/journal.pone.0227188",
volume = "15",
year = "2020",
}