Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Recognition of Time Expressions in Spanish Electronic Health Records (SCIE: B)
Año:2019
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
The widespread adoption of Electronic Health Records (EHRs) is generating an ever-increasing amount of unstructured clinical texts. Processing time expressions from these domain-specific-texts is crucial for the discovery of patterns that can help in the detection of medical events and building the patient?s natural history. In medical domain, the recognition of time information from texts is challenging due to their lack of structure; usage of various formats, styles and abbreviations; their domain specific nature; writing quality; and the presence of ambiguous expressions. Furthermore, despite of Spanish occupying the second position in the world ranking of number of native speakers, to the best of our knowledge, no Natural Language Processing (NLP) tools have been introduced for the recognition of time expressions from clinical texts, written in this particular language. Therefore, in this paper, we propose a Temporal Tagger for identifying and normalizing time expressions appeared in Spanish clinical texts. We further compare our Temporal Tagger with the Spanish version of SUTime. By using a large dataset comprising EHRs of people suffering from lung cancer, we show that our developed Temporal Tagger, with an F1 score of 0.93, outperforms SUTime, with an F1 score of 0.797.
Internacional
Si
JCR del ISI
No
Título de la revista
2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
ISSN
2372-9198
Factor de impacto JCR
Información de impacto
Volumen
DOI
10.1109/CBMS.2019.00025
Número de revista
Desde la página
69
Hasta la página
74
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Marjan Najafabadipour (UPM)
  • Autor: Massimiliano Zanin Zanin (UPM)
  • Autor: Alejandro Rodriguez Gonzalez (UPM)
  • Autor: Consuelo Gonzalo Martin (UPM)
  • Autor: Ernestina Menasalvas Ruiz (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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