Navegar

Colección

Datos Estadísticas

Artículo

Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

We present a methodology for the automatic recognition of negated findings in radiological reports considering morphological, syntactic, and semantic information. In order to achieve this goal, a series of rules for processing lexical and syntactic information was elaborated. This required development of an electronic dictionary of medical terminology and informatics grammars. Pertinent information for the assembly of the specialized dictionary was extracted from the ontology SNOMED CT and a medical dictionary (RANM, 2012). Likewise, a general language dictionary was also included. Lexicon-Grammar (LG), proposed by Gross (1975; Cahiers de l’institut de linguistique de Louvain, 24. 23-41 1998), was used to set up the database, which allowed an exhaustive description of the argument structure of predicates projected by lexical units. Computational framework was carried out with NooJ, a free software developed by Silberztein (Silberztein and Noo 2018, 2016), which has various utilities for treating natural language, such as morphological and syntactic grammar, as well as dictionaries. This methodology was compared with a Spanish version of NegEx (Chapman et al. Journal of Biomedical Informatics, 34(5):301-310 2001; Stricker 2016). Results show that there are minimal differences in favor of the algorithm developed using NooJ, but the quality and specificity of the data improves if lexical-grammatical information is added. © 2018, Society for Imaging Informatics in Medicine.

Registro:

Documento: Artículo
Título:Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing
Autor:Koza, W.; Filippo, D.; Cotik, V.; Stricker, V.; Muñoz, M.; Godoy, N.; Rivas, N.; Martínez-Gamboa, R.
Filiación:Instituto de Literatura y Ciencias del Lenguaje, Pontificia Universidad Católica de Valparaíso, Proyecto FONDECyT 1171033, Valparaíso, Chile
Hospital Pediátrico Garrahan, Buenos Aires, Argentina
Departamento de Ciencias de la Computación, FCEyN, Universidad de Buenos Aires, Buenos Aires, Argentina
Universidad Diego Portales, Santiago, Chile
Palabras clave:Automatic recognition; Lexicon-grammar; Negated findings; NegEx; NooJ; Natural language processing systems; Semantics; Terminology; Automatic recognition; Lexicon-grammar; Negated findings; NegEx; NooJ; Syntactics; article; grammar; human; human experiment; information science; ontology; software; Spanish (language); Systematized Nomenclature of Medicine
Año:2019
Volumen:32
Número:1
Página de inicio:19
Página de fin:29
DOI: http://dx.doi.org/10.1007/s10278-018-0113-8
Título revista:Journal of Digital Imaging
Título revista abreviado:J. Digit. Imaging
ISSN:08971889
CODEN:JDIME
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08971889_v32_n1_p19_Koza

Referencias:

  • López-Huertas, M., Torres, I., Barité, M., Terminological representation of specialized areas in conceptual structures: The case of gender studie (2004) Proceedings of the 8Th International ISCO Conference, pp. 263-268. , Londres: Ia C. McIlwaine
  • Zeng, Q., Goryachev, S., Weiss, S., Sordo, M., Murphy, S., Lazarus, R., Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system (2006) BMC medical informatics and decision making, 6 (1), p. 1
  • Chapman, W., Bridewell, W., Hanbury, P., Cooper, G., Buchanan, B., A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (2001) Journal of Biomedical Informatics, 34 (5), pp. 301-310
  • Stricker, V., (2016) Detección de negaciones en informes radiológicos en español, , Universidad de Bue Aires, Bue Aires
  • Lacson, R., Andriole, K., Prevedello, L., Khorasani, R., Information from Searching Content with an Ontology-Utilizing Toolkit (iSCOUT) (2012) Journal of Digit Imaging, 25, pp. 512-519
  • Cotik, V., Stricker, V., Vivaldi, J., Rodríguez, H., Syntactic methods for negation detection in radiology reports in Spanish (2016) Proceedings of 15Th Workshop on Biomedical Natural Language Processing, pp. 156-165. , Berlín: Association for Computational Linguistics
  • (2012) Diccionario de términos médicos, , Bue Aires, Editorial Médica Panamericana
  • (2014), RAE: Diccionario de la lengua Española. Bogotá: Santillana; Gross, M., (1975) Méthodes en syntaxe, , Hermann, París
  • Gross, M., Lexique, grammaires et cumulativité (1998) Cahiers de l’institut de linguistique de Louvain, 24, pp. 23-41
  • Silberztein, M., (2018) Nooj: A Linguistic Annotation System for Corpus Processing, , http://www.aclweb.org/anthology/H05-2, Accesed 3 January
  • Silberztein, M., (2016) Formalizing Natural Languages, , The NooJ approach. Londres, ISTE
  • Harkema, H., Dowling, J., Thornblade, T., Chapman, W., Con-Text: An Algorithm for Determining Negation, Experiencer, and Temporal Status from Clinical Reports (2009) Journal of biomedical informatics, 42 (5), pp. 839-851
  • Costumero, R., Lopez, F., Gonzalo-Martín, C., Millan, M., Menasalvas, E., An Approach to Detect Negation on Medical Documents in Spanish (2014) Brain Informatics and Health, 8609, pp. 366-375
  • Campillos Llanos, L., Martínez, P., Segura-Berdman, I., (2017) A Preliminary Analysis of Negation in a Spanish Clinical Records Dataset, Actas Del Taller De NEGación En español, , NEGES-2017, 33-37. Murcia: Universidad de Murcia
  • Asdo, W., Kimrubin, B., Evaluation of negation and uncertainty detection and its impact on precision and recall in search (2011) J Digit Imaging, 24 (2), pp. 234-242
  • Nassif, H., Woods, R., Burnside, E., Ayvaci, M., Shavlik, J., Page, D., Information extraction for clinical data mining: A mammography case study (2009) Proc IEEE Internationa Conference Data Mining
  • Nassif, H., Cunha, F., Moreira, I., Cruz-Correia, R., Sousa, E., Burnside, E., Dutra, I., Extracting BI-RADS features from Portuguese Clinical Texts (2012) Proceedings IEEE International Conference Bioinformatics Biomed
  • (1998) American College of Radiology, , Reston, VA
  • Elia, A., Monteleone, M., Marano, F., From the concept of transformation in Harris and Chomsky to the Lexique-Grammaire of Maurice Gross (2011) History of Linguistics, pp. 76-82. , Kasevich, V., Kleiner, Y., Sériot, P., Amsterdam, John Benjamins
  • Tolone, E., Conversión de las tablas del Léxico-Gramática del francés en el léxico LGLex (2012) 2Nd Argentinian Workshop on Natural Language Processing (WNLP’11), , Córdoba, Argentina
  • Koza, W., Traducción automática del conocimiento médico. Propuesta basada en explicitación y reglas transformacionales, , Proyecto FONDECyT Regular 1171033. Comisión Nacional de Investigación Científica y Tecnológica (Conicyt), Chile
  • Bonino, R., Una propuesta para el tratamiento de los enclíticos en NooJ (2015) Infosur Revista, 7, pp. 31-40
  • Koza, W., Enumerative series in Spanish: Formalization and Automatic Detection (2017) Commun Comput Inf Sci, 667, pp. 121-131

Citas:

---------- APA ----------
Koza, W., Filippo, D., Cotik, V., Stricker, V., Muñoz, M., Godoy, N., Rivas, N.,..., Martínez-Gamboa, R. (2019) . Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing. Journal of Digital Imaging, 32(1), 19-29.
http://dx.doi.org/10.1007/s10278-018-0113-8
---------- CHICAGO ----------
Koza, W., Filippo, D., Cotik, V., Stricker, V., Muñoz, M., Godoy, N., et al. "Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing" . Journal of Digital Imaging 32, no. 1 (2019) : 19-29.
http://dx.doi.org/10.1007/s10278-018-0113-8
---------- MLA ----------
Koza, W., Filippo, D., Cotik, V., Stricker, V., Muñoz, M., Godoy, N., et al. "Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing" . Journal of Digital Imaging, vol. 32, no. 1, 2019, pp. 19-29.
http://dx.doi.org/10.1007/s10278-018-0113-8
---------- VANCOUVER ----------
Koza, W., Filippo, D., Cotik, V., Stricker, V., Muñoz, M., Godoy, N., et al. Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing. J. Digit. Imaging. 2019;32(1):19-29.
http://dx.doi.org/10.1007/s10278-018-0113-8