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Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches
Cita
Rodríguez González, Alejandro 
ORCID: https://orcid.org/0000-0001-8801-4762, Costumero Moreno, Roberto ORCID: https://orcid.org/0000-0002-0069-5960, Martínez Romero, Marcos, Wilkinson, Mark Denis ORCID: https://orcid.org/0000-0001-6960-357X and Menasalvas Ruiz, Ernestina ORCID: https://orcid.org/0000-0002-5615-6798
(2018).
Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches.
"Current Bioinformatics", v. 13
(n. 06);
pp. 1-7.
ISSN 1574-8936.
https://doi.org/10.2174/1574893612666170727094502.
ORCID: https://orcid.org/0000-0001-8801-4762, Costumero Moreno, Roberto ORCID: https://orcid.org/0000-0002-0069-5960, Martínez Romero, Marcos, Wilkinson, Mark Denis ORCID: https://orcid.org/0000-0001-6960-357X and Menasalvas Ruiz, Ernestina ORCID: https://orcid.org/0000-0002-5615-6798
(2018).
Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches.
"Current Bioinformatics", v. 13
(n. 06);
pp. 1-7.
ISSN 1574-8936.
https://doi.org/10.2174/1574893612666170727094502.
Descripción
| Título: | Extracting diagnostic knowledge from MedLine Plus: a comparison between MetaMap and cTAKES Approaches |
|---|---|
| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Current Bioinformatics |
| Fecha: | 2018 |
| ISSN: | 1574-8936 |
| Volumen: | 13 |
| Número: | 06 |
| Materias: | |
| ODS: | |
| 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 |
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: | https://oa.upm.es/44984/ |
| Identificador OAI: | oai:oa.upm.es:44984 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/6822769 |
| Identificador DOI: | 10.2174/1574893612666170727094502 |
| URL Oficial: | http://www.eurekaselect.com/154505/article |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 09 Mar 2017 11:09 |
| Ultima Modificación: | 12 Nov 2025 00:00 |
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