BigTexts - A Framework for the Analysis of Electronic Health Record Narrative Texts based on Big Data Technologies

Wilson Alzate Calderón, Alexandra Pomares Quimbaya, Rafael A. Gonzalez, Oscar Mauricio Muñoz

Abstract

In the healthcare domain the analysis of Electronic Medical Records (EMR) may be classified as a Big Data problem since it has the three fundamental characteristics: Volume, Variety and Speed. A major drawback is that most of the information contained in medical records is narrative text, where natural language processing and text mining are key technologies to enhance the utility of medical records for research, analysis and decision support. Among the tasks performed for natural language processing, the most critical, in terms of time consumption, are the pre-processing tasks that give some structure to the original non-structured text. Studying existing research on the use of Big Data techniques in the healthcare domain reveals few practical contributions, especially for EMR analysis. To fill this gap, this paper presents BigTexts, a framework that provides pre-built functionalities for the execution of pre-processing tasks over narrative texts contained in EMR using Big Data techniques. BigTexts enables faster results on EMR narrative text analysis improving decision making in healthcare.

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Paper Citation


in Harvard Style

Alzate Calderón W., Pomares Quimbaya A., A. Gonzalez R. and Muñoz O. (2015). BigTexts - A Framework for the Analysis of Electronic Health Record Narrative Texts based on Big Data Technologies . In Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell, ISBN 978-989-758-102-1, pages 129-136. DOI: 10.5220/0005434101290136


in Bibtex Style

@conference{ict4ageingwell15,
author={Wilson Alzate Calderón and Alexandra Pomares Quimbaya and Rafael A. Gonzalez and Oscar Mauricio Muñoz},
title={BigTexts - A Framework for the Analysis of Electronic Health Record Narrative Texts based on Big Data Technologies},
booktitle={Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,},
year={2015},
pages={129-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005434101290136},
isbn={978-989-758-102-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AgeingWell,
TI - BigTexts - A Framework for the Analysis of Electronic Health Record Narrative Texts based on Big Data Technologies
SN - 978-989-758-102-1
AU - Alzate Calderón W.
AU - Pomares Quimbaya A.
AU - A. Gonzalez R.
AU - Muñoz O.
PY - 2015
SP - 129
EP - 136
DO - 10.5220/0005434101290136