Text Mining of Medical Documents in Spanish: Semantic Annotation and Detection of Recommendations

Carlos Tellería, Sergio Ilarri, Carlos Sánchez

2020

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.

Paper Citation

in Harvard Style

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 - Volume 1: WEBIST, ISBN 978-989-758-478-7, pages 197-208. DOI: 10.5220/0010059101970208

in Bibtex Style

@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 - Volume 1: WEBIST,},
year={2020},
pages={197-208},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010059101970208},
isbn={978-989-758-478-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Text Mining of Medical Documents in Spanish: Semantic Annotation and Detection of Recommendations
SN - 978-989-758-478-7
AU - Tellería C.
AU - Ilarri S.
AU - Sánchez C.
PY - 2020
SP - 197
EP - 208
DO - 10.5220/0010059101970208