Prototype of an Entity Recognition System for Antimicrobial Resistance Data Management
Use este enlace para citar
http://hdl.handle.net/2183/34154
A non ser que se indique outra cousa, a licenza do ítem descríbese como Attribution 4.0 International (CC BY 4.0)
Coleccións
Metadatos
Mostrar o rexistro completo do ítemTítulo
Prototype of an Entity Recognition System for Antimicrobial Resistance Data ManagementData
2023Resumo
[Abstract] Often, a study or research process requires the analysis of large volumes of information
in the form of unstructured text. This task consumes a large amount of time and resources of
the human experts in charge of it. For this reason, there is great interest in developing automatic
systems to support these activities by applying Text Mining techniques. A key task in this type of
process is Entity Recognition: extracting the entities of interest contained in a text and classifying
them into pre-established categories.
Thework presented here is part of the GRALENIA project, which seeks to improve antimicrobial
resistance data management in the hospital setting. The main goal of our work is the development
of an entity recognizer prototype for the identification and labeling of indicators of interest
present in clinical reports
Palabras chave
Minería de textos
Gestión de datos clínicos
Gestión de datos clínicos
Descrición
Cursos e Congresos, C-155
Versión do editor
Dereitos
Attribution 4.0 International (CC BY 4.0)