Information extraction of texts in the biomedical domain

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...

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Detalles Bibliográficos
Autor principal:	Cotik, Viviana Erica
Publicado:	2015
Materias:	Artificial intelligence Medical imaging Automatic Detection Biomedical domain Clinical research NAtural language processing Radiology reports Relevant terms Natural language processing systems
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik http://hdl.handle.net/20.500.12110/paper_10450823_v2015-January_n_p4357_Cotik
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_10450823_v2015-January_n_p4357_Cotik
record_format	dspace
spelling	paper:paper_10450823_v2015-January_n_p4357_Cotik2023-06-08T16:01:07Z Information extraction of texts in the biomedical domain Cotik, Viviana Erica Artificial intelligence Medical imaging Automatic Detection Biomedical domain Clinical research NAtural language processing Radiology reports Relevant terms Natural language processing systems 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. Fil:Cotik, V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik http://hdl.handle.net/20.500.12110/paper_10450823_v2015-January_n_p4357_Cotik
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Artificial intelligence Medical imaging Automatic Detection Biomedical domain Clinical research NAtural language processing Radiology reports Relevant terms Natural language processing systems
spellingShingle	Artificial intelligence Medical imaging Automatic Detection Biomedical domain Clinical research NAtural language processing Radiology reports Relevant terms Natural language processing systems Cotik, Viviana Erica Information extraction of texts in the biomedical domain
topic_facet	Artificial intelligence Medical imaging Automatic Detection Biomedical domain Clinical research NAtural language processing Radiology reports Relevant terms Natural language processing systems
description	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.
author	Cotik, Viviana Erica
author_facet	Cotik, Viviana Erica
author_sort	Cotik, Viviana Erica
title	Information extraction of texts in the biomedical domain
title_short	Information extraction of texts in the biomedical domain
title_full	Information extraction of texts in the biomedical domain
title_fullStr	Information extraction of texts in the biomedical domain
title_full_unstemmed	Information extraction of texts in the biomedical domain
title_sort	information extraction of texts in the biomedical domain
publishDate	2015
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_10450823_v2015-January_n_p4357_Cotik http://hdl.handle.net/20.500.12110/paper_10450823_v2015-January_n_p4357_Cotik
work_keys_str_mv	AT cotikvivianaerica informationextractionoftextsinthebiomedicaldomain
_version_	1768545153532821504

Information extraction of texts in the biomedical domain

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