Discourse biomarkers in clinical reports using the R programming language to detect patterns of discourse organisation
Abstract
Language and health is a hot topic today, with AI and healthcare emerging as one of the major contemporary challenges. For this reason, the Community of Madrid’s Innovatrad project (PHS-2024/PH-HUM-52) is dedicated to researching Human-AI interaction in real-time speech generation, interpretation and translation. Within the framework of this project, the aims of this article are: to extract the most significant medical data on which the structure of the template for discharge and emergency clinical reports is based; to generate discourse biomarkers by categorising and prioritising the extracted data; to compare the discourse biomarkers obtained and assess the possibility, including the advisability, of developing a single organisational pattern for biomedical discourse for both types of reports or two distinct patterns for each type of report. To achieve these aims, a methodology based on R programming language will be followed. For this experiment, the HUMADEX/spanish_medical_ner model has been chosen, which is specifically trained for medical text in Spanish.
Downloads
Format
Crossmark
License
In order to support the global exchange of knowledge, the journal Círculo de Lingüística Aplicada a la Comunicación is allowing unrestricted access to its content as from its publication in this electronic edition, and as such it is an open-access journal. The originals published in this journal are the property of the Complutense University of Madrid and any reproduction thereof in full or in part must cite the source. All content is distributed under a Creative Commons Attribution 4.0 use and distribution licence (CC BY 4.0). This circumstance must be expressly stated in these terms where necessary. You can view the summary and the complete legal text of the licence.
