Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing

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 developme...

Descripción completa

Guardado en:

Detalles Bibliográficos
Publicado:	2019
Materias:	Automatic recognition Lexicon-grammar Negated findings NegEx NooJ Natural language processing systems Semantics Terminology Syntactics article grammar human human experiment information science ontology software Spanish (language) Systematized Nomenclature of Medicine
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08971889_v32_n1_p19_Koza http://hdl.handle.net/20.500.12110/paper_08971889_v32_n1_p19_Koza
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_08971889_v32_n1_p19_Koza
record_format	dspace
spelling	paper:paper_08971889_v32_n1_p19_Koza2023-06-08T15:49:14Z Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing 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 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. 2019 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08971889_v32_n1_p19_Koza http://hdl.handle.net/20.500.12110/paper_08971889_v32_n1_p19_Koza
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	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
spellingShingle	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 Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing
topic_facet	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
description	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.
title	Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing
title_short	Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing
title_full	Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing
title_fullStr	Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing
title_full_unstemmed	Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing
title_sort	automatic detection of negated findings in radiological reports for spanish language: methodology based on lexicon-grammatical information processing
publishDate	2019
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08971889_v32_n1_p19_Koza http://hdl.handle.net/20.500.12110/paper_08971889_v32_n1_p19_Koza
_version_	1768545336765186048

Automatic Detection of Negated Findings in Radiological Reports for Spanish Language: Methodology Based on Lexicon-Grammatical Information Processing

Ejemplares similares