Deteami research-transference project: natural language processing technologies to the aid of pharmacy and pharmacosurveillance
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| Natura: | Artículo científico |
| Lingua: | en |
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Sociedad Española para el Procesamiento del Lenguaje Natural
2016
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| _version_ | 1876433428647247872 |
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| author | A. Casillas |
| author_facet | A. Casillas |
| contents | Deteami research-transference project: natural language processing technologies to the aid of pharmacy and pharmacosurveillance A. Casillas A. Díaz de Ilarraz K. Gojenola L. Mendarte M. Oronoz J. Peral A. Pérez Computación entity recognition clinical text mining Technological transference The goal of the Deteami project is to develop tools that make clinicians aware of adverse drug reactions stated in electronic health records of the clinical digital history.The records produced in hospitals are a valuable though nearly unex- plored source of information among others due to the fact that are tough to get due to privacy and confidentiality restrictions. To leverage the clinicians work of reading and analyzing the health records looking for information about the health of the patients, in this project we explore the records automatically, identify among others disorder and drug entities, and infer medical information, in this case, adverse drug reactions. In this project a research-framework was settled with the Galdakao- Usansolo and Basurto Hospitals from Osakidetza (the Basque Health System). Osa- kidetza provided both the texts and the final user feedback, as well as, specialists that annotate the corpora, an in this way, we obtained a gold-standard 2016 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515754424020 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.57 |
| format | Artículo científico |
| id | redalyc_515754424020 |
| institution | Redalyc |
| language | en |
| publishDate | 2016 |
| publisher | Sociedad Española para el Procesamiento del Lenguaje Natural |
| spellingShingle | Deteami research-transference project: natural language processing technologies to the aid of pharmacy and pharmacosurveillance A. Casillas Computación entity recognition clinical text mining Technological transference Deteami research-transference project: natural language processing technologies to the aid of pharmacy and pharmacosurveillance A. Casillas A. Díaz de Ilarraz K. Gojenola L. Mendarte M. Oronoz J. Peral A. Pérez Computación entity recognition clinical text mining Technological transference The goal of the Deteami project is to develop tools that make clinicians aware of adverse drug reactions stated in electronic health records of the clinical digital history.The records produced in hospitals are a valuable though nearly unex- plored source of information among others due to the fact that are tough to get due to privacy and confidentiality restrictions. To leverage the clinicians work of reading and analyzing the health records looking for information about the health of the patients, in this project we explore the records automatically, identify among others disorder and drug entities, and infer medical information, in this case, adverse drug reactions. In this project a research-framework was settled with the Galdakao- Usansolo and Basurto Hospitals from Osakidetza (the Basque Health System). Osa- kidetza provided both the texts and the final user feedback, as well as, specialists that annotate the corpora, an in this way, we obtained a gold-standard 2016 artículo científico 1135-5948 https://www.redalyc.org/articulo.oa?id=515754424020 en http://www.redalyc.org/revista.oa?id=5157 Procesamiento del Lenguaje Natural application/pdf Sociedad Española para el Procesamiento del Lenguaje Natural Procesamiento del Lenguaje Natural (España) Num.57 |
| title | Deteami research-transference project: natural language processing technologies to the aid of pharmacy and pharmacosurveillance |
| topic | Computación entity recognition clinical text mining Technological transference |
| url | https://www.redalyc.org/articulo.oa?id=515754424020 |