TIDA: A spanish EHR semantic search engine

Costumero Moreno, Roberto and Gonzalo Martín, Consuelo and Menasalvas Ruiz, Ernestina (2014). TIDA: A spanish EHR semantic search engine. In: "8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)", 04/06/2014 - 06/06/2014, Salamanca. pp. 235-242. https://doi.org/10.1007/978-3-319-07581-5_28.

Description

Title: TIDA: A spanish EHR semantic search engine
Author/s:
  • Costumero Moreno, Roberto
  • Gonzalo Martín, Consuelo
  • Menasalvas Ruiz, Ernestina
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB 2014)
Event Dates: 04/06/2014 - 06/06/2014
Event Location: Salamanca
Title of Book: Advances in Intelligent Systems and Computing
Date: 10 March 2014
Subjects:
Freetext Keywords: Natural Language Processing, Electronic Health Records, Negation Detection
Faculty: Centro de Tecnología Biomédica (CTB) (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Electronic Health Records (EHR) and the constant adoption of Information Technologies in healthcare have dramatically increased the amount of unstructured data stored. The extraction of key information from this data will bring better caregivers decisions and an improvement in patients? treatments. With more than 495 million people talking Spanish, the need to adapt algorithms and technologies used in EHR knowledge extraction in English speaking countries, leads to the development of different frameworks. Thus, we present TIDA, a Spanish EHR semantic search engine, to give support to Spanish speaking medical centers and hospitals to convert pure raw data into information understandable for cognitive systems. This paper presents the results of TIDA?s Spanish EHR free-text treatment component with the adaptation of negation and context detection algorithms applied in a semantic search engine with a database with more than 30,000 clinical notes.

More information

Item ID: 38213
DC Identifier: http://oa.upm.es/38213/
OAI Identifier: oai:oa.upm.es:38213
DOI: 10.1007/978-3-319-07581-5_28
Official URL: http://link.springer.com/chapter/10.1007/978-3-319-07581-5_28
Deposited by: Memoria Investigacion
Deposited on: 06 May 2017 09:46
Last Modified: 06 May 2017 09:46
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