First steps towards building a medical Lexicon for Spanish with linguistic and semantic information
LC Llanos - Proceedings of the 18th BioNLP Workshop and …, 2019 - aclanthology.org
We report the work-in-progress of collecting MedLexSp, an unified medical lexicon for the
Spanish language, featuring terms and inflected word forms mapped to Unified Medical …
Spanish language, featuring terms and inflected word forms mapped to Unified Medical …
[HTML][HTML] An integrated approach to biomedical term identification systems
In this paper a novel architecture to build biomedical term identification systems is
presented. The architecture combines several sources of information and knowledge bases …
presented. The architecture combines several sources of information and knowledge bases …
Spanish named entity recognition in the biomedical domain
Abstract Named Entity Recognition in the clinical domain and in languages different from
English has the difficulty of the absence of complete dictionaries, the informality of texts, the …
English has the difficulty of the absence of complete dictionaries, the informality of texts, the …
[PDF][PDF] Adverse drug event prediction combining shallow analysis and machine learning
S Santiso, A Casillas, A Pérez, M Oronoz… - Proceedings of the …, 2014 - aclanthology.org
The aim of this work is to infer a model able to extract cause-effect relations between drugs
and diseases. A two-level system is proposed. The first level carries out a shallow analysis …
and diseases. A two-level system is proposed. The first level carries out a shallow analysis …
[PDF][PDF] ADOP FERT-Automatic Detection of Occupations and Profession in Medical Texts using Flair and BERT.
Technological developments in healthcare industry are generating lots of electronic health
records as well as text data which is usually referred as medical text data. Processing …
records as well as text data which is usually referred as medical text data. Processing …
[PDF][PDF] IxaMed: Applying freeling and a perceptron sequential tagger at the shared task on analyzing clinical texts
K Gojenola, M Oronoz, A Pérez… - Proceedings of the 8th …, 2014 - aclanthology.org
This paper presents the results of the IxaMed team at the SemEval-2014 Shared Task 7 on
Analyzing Clinical Texts. We have developed three different systems based on: a) exact …
Analyzing Clinical Texts. We have developed three different systems based on: a) exact …
[HTML][HTML] Improving Medical Entity Recognition in Spanish by Means of Biomedical Language Models
Named Entity Recognition (NER) is an important task used to extract relevant information
from biomedical texts. Recently, pre-trained language models have made great progress in …
from biomedical texts. Recently, pre-trained language models have made great progress in …
Estudio preliminar de la anotación automática de códigos CIE-10 en informes de alta hospitalarios
En la actualidad, la cantidad de recursos que se destinan a la codificación de informes
médicos es enorme. Con la reciente implantación del estándar CIE-10 en el sistema …
médicos es enorme. Con la reciente implantación del estándar CIE-10 en el sistema …
Clinical text mining for efficient extraction of drug-allergy reactions
A Casillas, K Gojenola, A Pérez… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
This work focuses on the extraction of allergic drug reactions in electronic health records.
The goal is to annotate a sub-class of cause-effect events, those in which drugs are causing …
The goal is to annotate a sub-class of cause-effect events, those in which drugs are causing …
Biomedical abbreviation recognition and resolution by prosa-med
S Montalvo, M Oronoz… - Proceedings of the …, 2017 - upcommons.upc.edu
The amount of abbreviations used in biomedical literature increases constantly. Despite the
existence of acronym dictionaries, it is not viable to keep them updated with new creations …
existence of acronym dictionaries, it is not viable to keep them updated with new creations …