Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches

Rodríguez González, Alejandro; Costumero Moreno, Roberto; Martínez Romero, Marcos; Wilkinson, Mark Denis y Menasalvas Ruiz, Ernestina (2015). Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches. "Current Bioinformatics", v. 375 ; pp. 1-7. ISSN 1574-8936. https://doi.org/10.1007/978-3-319-19776-0_9.

Descripción

Título: Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches
Autor/es:
  • Rodríguez González, Alejandro
  • Costumero Moreno, Roberto
  • Martínez Romero, Marcos
  • Wilkinson, Mark Denis
  • Menasalvas Ruiz, Ernestina
Tipo de Documento: Artículo
Título de Revista/Publicación: Current Bioinformatics
Fecha: 2015
Volumen: 375
Materias:
Palabras Clave Informales: Diagnostic knowledge; Information extraction; CDSS; DDSS; NLP; MetaMap; cTAKES
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The development of diagnostic decision support systems (DDSS) requires having a reliable and consistent knowledge base about diseases and their symptoms, signs and diagnostic tests. Physicians are typically the source of this knowledge, but it is not always possible to obtain all the desired information from them. Other valuable sources are medical books and articles describing the diagnosis of diseases, but again, extracting this information is a hard and time-consuming task. In this paper we present the results of our research, in which we have used Web scraping, natural language processing techniques, a variety of publicly available sources of diagnostic knowledge and two widely known medical concept identifiers, MetaMap and cTAKES, to extract diagnostic criteria for infectious diseases from MedLine Plus articles. A performance comparison of MetaMap and cTAKES is also presented.

Más información

ID de Registro: 44984
Identificador DC: http://oa.upm.es/44984/
Identificador OAI: oai:oa.upm.es:44984
Identificador DOI [BETA]: 10.1007/978-3-319-19776-0_9
URL Oficial: http://link.springer.com/chapter/10.1007%2F978-3-319-19776-0_9
Depositado por: Memoria Investigacion
Depositado el: 09 Mar 2017 11:09
Ultima Modificación: 09 Mar 2017 11:14
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