A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine
L Campillos-Llanos, A Valverde-Mateos… - BMC medical informatics …, 2021 - Springer
Background The large volume of medical literature makes it difficult for healthcare
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
professionals to keep abreast of the latest studies that support Evidence-Based Medicine …
Automatic extraction of nested entities in clinical referrals in Spanish
Here we describe a new clinical corpus rich in nested entities and a series of neural models
to identify them. The corpus comprises de-identified referrals from the waiting list in Chilean …
to identify them. The corpus comprises de-identified referrals from the waiting list in Chilean …
[PDF][PDF] Finding Mentions of Abbreviations and Their Definitions in Spanish Clinical Cases: The BARR2 Shared Task Evaluation Results.
A common characteristic of content generated by healthcare professionals, regardless the
actual clinical discipline or language, is the widespread and frequent use of abbreviations …
actual clinical discipline or language, is the widespread and frequent use of abbreviations …
[HTML][HTML] A corpus to support ehealth knowledge discovery technologies
This paper presents and describes eHealth-KD corpus. The corpus is a collection of 1173
Spanish health-related sentences manually annotated with a general semantic structure that …
Spanish health-related sentences manually annotated with a general semantic structure that …
A general-purpose annotation model for knowledge discovery: Case study in spanish clinical text
A Piad-Morffis, Y Guitérrez… - Proceedings of the …, 2019 - aclanthology.org
Abstract Knowledge discovery from text in natural language is a task usually aided by the
manual construction of annotated corpora. Specifically in the clinical domain, several …
manual construction of annotated corpora. Specifically in the clinical domain, several …
[PDF][PDF] Vicomtech at BARR2: Detecting Biomedical Abbreviations with ML Methods and Dictionary-based Heuristics.
This paper presents the system developed by Vicomtech to participate in the Second
Biomedical Abbreviation Recognition and Resolution (BARR2) track. For this purpose, we …
Biomedical Abbreviation Recognition and Resolution (BARR2) track. For this purpose, we …
[HTML][HTML] Construcción de recursos de texto para la identificación automática de información clínica en narrativas no estructuradas
Background: A significant proportion of the clinical record is in free text format, making it
difficult to extract key information and make secondary use of patient data. Automatic …
difficult to extract key information and make secondary use of patient data. Automatic …
[PDF][PDF] ARBOREx: Abbreviation resolution based on regular expressions for BARR2
F Sánchez-León - IberEval@ SEPLN, 2018 - ceur-ws.org
ARBOREx, a system for abbreviation recognition and resolution in biomedical texts based
on a curated set of lexical resources, is presented. For ShortForm-ExtendedForm (SF-EF) …
on a curated set of lexical resources, is presented. For ShortForm-ExtendedForm (SF-EF) …
[PDF][PDF] MAMTRA-MED at Biomedical Abbreviation Recognition and Resolution-IberEval 2018.
Biomedical literature, Electronic Health Records and clinical notes frequently contain
abbreviations and acronyms, most of them are highly ambiguous. Correct interpretation of …
abbreviations and acronyms, most of them are highly ambiguous. Correct interpretation of …
Augmenting a Spanish clinical dataset for transformer-based linking of negations and their out-of-scope references
A negated statement consists of three main components: the negation cue, the negation
scope, and the negation reference. The negation cue is the indicator of negation, while the …
scope, and the negation reference. The negation cue is the indicator of negation, while the …