| Revista: | Polibits |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000402969 |
| ISSN: | 1870-9044 |
| Autores: | Rinaldi, Fabio1 Lithgow Serrano, Oscar2 López Fuentes, Alejandra2 Gama Castro, Socorro2 Balderas Martínez, Yalbi I2 Solano Lira, Hilda2 Collado Vides, Julio2 |
| Instituciones: | 1University of Zurich, Institute of Computational Linguistics, Zurich. Suiza 2Universidad Nacional Autónoma de México, Centro de Ciencias Genómicas, Cuernavaca, Morelos. México |
| Año: | 2015 |
| Periodo: | Jul-Dic |
| Número: | 52 |
| Paginación: | 25-31 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico |
| Resumen en inglés | As part of a large-scale biocuration project, we are developing innovative techniques to process the biomedical literature and extract information relevant to specific biological investigations. Biological experts routinely extract core information from the scientific literature using a manual process known as scientific curation. The aim of our activity is to improve the efficiency of this process by leveraging upon natural language processing technologies in a text mining system. There are two lines of investigation that we pursue: (1) finding information relevant for curation and present it in an adaptive interface, and (2) use sentence-similarity techniques to create interlinks across articles in order to allow a process of knowledge discovery |
| Disciplinas: | Ciencias de la computación, Medicina |
| Palabras clave: | Inteligencia artificial, Diagnóstico, Minería de datos |
| Keyword: | Computer science, Medicine, Artificial intelligence, Diagnosis, Data mining |
| Texto completo: | Texto completo (Ver PDF) |
