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
Autores principales: 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
Formato: CONF
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: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 todo:paper_10450823_v2015-January_n_p4357_Cotik
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spelling todo:paper_10450823_v2015-January_n_p4357_Cotik2023-10-03T15:58:19Z Information extraction of texts in the biomedical domain 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 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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, 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
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.
format CONF
author 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
author_facet 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
author_sort Cotik, V.
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
url http://hdl.handle.net/20.500.12110/paper_10450823_v2015-January_n_p4357_Cotik
work_keys_str_mv AT cotikv informationextractionoftextsinthebiomedicaldomain
AT wooldridgem informationextractionoftextsinthebiomedicaldomain
AT yangq informationextractionoftextsinthebiomedicaldomain
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