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Authors: Carlos Tellería 1 ; Sergio Ilarri 2 and Carlos Sánchez 3

Affiliations: 1 Instituto Aragonés de Ciencias de la Salud, Zaragoza, Spain ; 2 I3A, University of Zaragoza, Zaragoza, Spain ; 3 University of Zaragoza, Zaragoza, Spain

Keyword(s): Medical Documents, Information Extraction, Text Mining, Classification, Semantic Annotation, Detection of Recommendations in Texts, Spanish Texts.

Abstract: In medical practice, identifying relevant facts and therapeutic recommendations from health-related documents is a key issue to ensure an efficient and effective service to patients. However, the automatic analysis of text documents to extract relevant data is a challenging task. This is the case particularly when we deal with documents written in languages other than English, for which the availability of lexical resources and tools is much more limited and less experiences have been reported. In this paper, we present our experience dealing with texts written in Spanish in a medical context. By applying text mining techniques and exploiting semantic resources, we present an approach to automatically label documents using appropriate medical terms. Besides, we also describe a technique that attempts to detect practice recommendations for doctors automatically in clinical guides. An experimental evaluation shows the benefits of applying text mining techniques as a support system for doctors as well as its feasibility. The scarcity of experimental evaluations with medical documents in Spanish motivated our work. (More)

CC BY-NC-ND 4.0

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Paper citation in several formats:
Tellería, C.; Ilarri, S. and Sánchez, C. (2020). Text Mining of Medical Documents in Spanish: Semantic Annotation and Detection of Recommendations. In Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST, ISBN 978-989-758-478-7; ISSN 2184-3252, pages 197-208. DOI: 10.5220/0010059101970208

@conference{webist20,
author={Carlos Tellería. and Sergio Ilarri. and Carlos Sánchez.},
title={Text Mining of Medical Documents in Spanish: Semantic Annotation and Detection of Recommendations},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST,},
year={2020},
pages={197-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010059101970208},
isbn={978-989-758-478-7},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST,
TI - Text Mining of Medical Documents in Spanish: Semantic Annotation and Detection of Recommendations
SN - 978-989-758-478-7
IS - 2184-3252
AU - Tellería, C.
AU - Ilarri, S.
AU - Sánchez, C.
PY - 2020
SP - 197
EP - 208
DO - 10.5220/0010059101970208

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