Conferencia
Cotik, V.; Wooldridge M.; Yang Q.; Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation "Information extraction of texts in the biomedical domain" (2015) 24th International Joint Conference on Artificial Intelligence, IJCAI 2015. 2015-January:4357-4358
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Abstract:
Automatic detection of relevant terms in medical reports is useful for educational purposes and for clinical research. Natural language processing techniques can be applied in order to identify them. The main goal of this research is to develop a method to identify whether medical reports of imaging studies (usually called radiology reports) written in Spanish are important (in the sense that they have non-negated pathological findings) or not. We also try to identify which finding is present and if possible its relationship with anatomical entities.
Registro:
| Documento: | Conferencia |
| Título: | Information extraction of texts in the biomedical domain |
| Autor: | Cotik, V.; Wooldridge M.; Yang Q.; Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation |
| Filiación: | Computer Science Department, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina |
| Palabras clave: | Artificial intelligence; Medical imaging; Automatic Detection; Biomedical domain; Clinical research; NAtural language processing; Radiology reports; Relevant terms; Natural language processing systems |
| Año: | 2015 |
| Volumen: | 2015-January |
| Página de inicio: | 4357 |
| Página de fin: | 4358 |
| Título revista: | 24th International Joint Conference on Artificial Intelligence, IJCAI 2015 |
| Título revista abreviado: | IJCAI Int. Joint Conf. Artif. Intell. |
| ISSN: | 10450823 |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik |
Referencias:
- Aronson, A., A effective mapping of biomedical text to the umls metathesaurus: The metamap program (2001) Proc AMIA Symp, pp. 17-21
- Bretschneider, C., Zillner, S., Hammon, M., Identifying pathological findings in German radiology reports using a syntacto-semantic parsing approach (2013) Proc of Workshop on Biomedical Natural Language Processing, pp. 27-35
- Chapman, W.W., Wridewell, W., Hanbury, P., Cooper, G.F., Buchanan, B.G., A simple algorithm for identifying negated findings and diseases in discharge summaries (2001) Biomedical Informatics, 34 (5), pp. 301-310
- Chapman, W.W., Hilert, D., Velupillai, S., Kvist, M., Skeppstedt, M., Chapman, B.E., Conway, M., Deleger, L., Extending the negex lexicon for multiple languages (2013) Stud Health Technol Inform, 192, pp. 677-681
- Dang, P.A., Kalra, M.K., Schultz, T.J., Graham, S.A., Dreyer, K.J., Abbreviations: Application of recently developed computer algorithm for automatic classification of unstructured radiology reports (2005) Radiology, 234, pp. 323-329
- Dang, P.A., Kalra, M.K., Schultz, T.J., Graham, S.A., Dreyer, K.J., Informatics in radiology: Render: An online searchable radiology study repository (2009) Radiographics, 29 (5), pp. 1233-1246
- Do, B.H., Wu, A., Biswal, S., Kamaya, A., Rubin, D.L., Informatics in radiology: Radtf: A semantic search-enabled, natu-ral language processor-generated radiology teaching file (2010) Radiographics, 30 (7), pp. 2039-2048
- Gerstmair, A., Daumke, P., Simon, K., Langer, M., Kotter, E., Intelligent image retrieval based on radiology reports (2012) European Radiology, 22 (12), pp. 2750-2758
- Ramaswamy, M.R., Patterson, D.S., Yin, L., Goodacre, B.W., Mosearch: A radiologist-friendly tool for finding-based di-agnostic report and image retrieval (1996) Radiographics, 16 (4), pp. 923-933
- Skeppstedt, M., Negation detection in swedish clinical text: An adaption of negex to swedish (2011) Journal of Bio-medical Semantics, 2 (3), pp. 1-12
- Wu, A.S., Do, B.H., Kim, J., Rubin, D.L., Evaluation of negation and uncertainty detection and its impact on precision and recall in search (2011) Digital Imaging, 24 (2), pp. 234-242A4 - Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation
Citas:
---------- APA ----------
Cotik, V., Wooldridge M., Yang Q. & Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation (2015) . Information extraction of texts in the biomedical domain. 24th International Joint Conference on Artificial Intelligence, IJCAI 2015, 2015-January, 4357-4358.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik [ ]
---------- CHICAGO ----------
Cotik, V., Wooldridge M., Yang Q., Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation "Information extraction of texts in the biomedical domain" . 24th International Joint Conference on Artificial Intelligence, IJCAI 2015 2015-January (2015) : 4357-4358.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik [ ]
---------- MLA ----------
Cotik, V., Wooldridge M., Yang Q., Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation "Information extraction of texts in the biomedical domain" . 24th International Joint Conference on Artificial Intelligence, IJCAI 2015, vol. 2015-January, 2015, pp. 4357-4358.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik [ ]
---------- VANCOUVER ----------
Cotik, V., Wooldridge M., Yang Q., Alibaba.com; Department of Computer Science and Engineering at Universidad Nacional del Sur; Department of Computer Science at the School of Exact and Natural Sciences of Buenos Aires University; et al.; International Joint Conferences on Artificial Intelligence (IJCAI); Ministry of Science, Technology and Productive Innovation Information extraction of texts in the biomedical domain. IJCAI Int. Joint Conf. Artif. Intell. 2015;2015-January:4357-4358.Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik [ ]
