Biomedical literature
Clinical text records
Social media
Industry reports
A. Leis, F. Ronzano, M. A. Mayer, L. I. Furlong, and F. Sanz. Detecting signs of depression in tweets in Spanish: Behavioral and linguistic analysis. Journal of Medical Internet Research, 21(6):e14199, 2019. doi:10.2196/14199.
A. Gutiérrez-Sacristán, À. Bravo, M. Portero-Tresserra, O. Valverde, A. Armario, M. C. Blanco-Gandía, A. Farré, L. Fernández-Ibarrondo, F. Fonseca, J. Giraldo, Others, A. Gutié Rrez-Sacrist An, A. Bravo, M. Portero-Tresserra, O. Valverde, A. Armario, M. C. Blanco- Gand Ia, A. Farré, L. Fernandez-Ibarrondo, F. Fonseca, J. Us Giraldo, A. Leis, A. Mané, M. A. Mayer, S. Montagud-Romero, R. Nadal, J. Ortiz, F. J. Pavon, E. Jesus Perez, M. Rodriguez-Arias, A. Serrano, M. Torrens, V. Warnault, F. Sanz, and L. I. Furlong. Text mining and expert curation to develop a database on psychiatric diseases and their genes. Database, 2017:43, 2017. doi:10.1093/database/bax043.
À. Bravo, T. S. Li, A. I. Su, B. M. Good, and L. I. Furlong. Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text. Database, 2016, 2016. doi:10.1093/database/baw094.
À. Bravo, J. Piñero, N. Queralt-Rosinach, M. Rautschka, and L. I. Furlong. Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research. BMC bioinformatics, 16(1):55, 2015. doi:10.1186/s12859-015- 0472-9
L. I. Furlong, H. Dach, M. Hofmann-Apitius, and F. Sanz. OSIRISv1. 2: a named entity recognition system for sequence variants of genes in biomedical literature. BMC bioinformatics, 9(1):84, 2008. doi:10.1186/1471-2105-9-84