Patient-based Literature Retrieval and Integration: A Use Case for Diabetes and arterial Hypertension

Jiménez Castellanos, Ana, Fernández, Izaskun, Pérez del Rey, David ORCID: https://orcid.org/0000-0002-9021-2597, Viejo de Diego, Elisa, Díez, Francisco Javier, García de Kortázar, Xabier, García Remesal, Miguel ORCID: https://orcid.org/0000-0002-5948-8691, Maojo García, Víctor Manuel ORCID: https://orcid.org/0000-0001-5103-4292, Cobo Sánchez de Rojas, Antonio and Pozo Guerrero, Francisco del ORCID: https://orcid.org/0000-0001-9919-9125 (2011). Patient-based Literature Retrieval and Integration: A Use Case for Diabetes and arterial Hypertension. En: "International Conference on Health Informatics", 26/01/2011 - 29/01/2011, Roma, Italia.

Descripción

Título: Patient-based Literature Retrieval and Integration: A Use Case for Diabetes and arterial Hypertension
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: International Conference on Health Informatics
Fechas del Evento: 26/01/2011 - 29/01/2011
Lugar del Evento: Roma, Italia
Título del Libro: Proceedings of the International Conference on Health Informatics
Fecha: 2011
Materias:
ODS:
Palabras Clave Informales: Electronic Health Record, search engines, literature retrieval, integration, federated search.
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Specialized search engines such as PubMed, MedScape or Cochrane have increased dramatically the visibility of biomedical scientific results. These web-based tools allow physicians to access scientific papers instantly. However, this decisive improvement had not a proportional impact in clinical practice due to the lack of advanced search methods. Even queries highly specified for a concrete pathology frequently retrieve too many information, with publications related to patients treated by the physician beyond the scope of the results examined. In this work we present a new method to improve scientific article search using patient information. Two pathologies have been used within the project to retrieve relevant literature to patient data and to be integrated with other sources. Promising results suggest the suitability of the approach, highlighting publications dealing with patient features and facilitating literature search to physicians.

Más información

ID de Registro: 11959
Identificador DC: https://oa.upm.es/11959/
Identificador OAI: oai:oa.upm.es:11959
URL Oficial: http://www.healthinf.biostec.org/HEALTHINF2011/
Depositado por: Memoria Investigacion
Depositado el: 20 Sep 2012 12:08
Ultima Modificación: 20 May 2024 11:20