Generation of Feature Vectors for Identifying Medical Entities in Spanish

Authors

  • Gabriela A. García-Robledo Universidad Autónoma del Estado de México, Centro Universitario Texcoco
  • Alma Delia Cuevas-Rasgado Universidad Autónoma del Estado de México, Centro Universitario Texcoco
  • Maricela Bravo Universidad Autónoma Metropolitana, Unidad Azcapotzalco
  • José A. Reyes-Ortiz Universidad Autónoma Metropolitana, Unidad Azcapotzalco

DOI:

https://doi.org/10.13053/cys-29-3-5002

Keywords:

Information Extraction, Named Entity Recognition, Natural Language Processing

Abstract

Natural Language Processing (NLP) encompasses a range of high impact techniques for enabling computers to interact with humans in a more natural manner. One such technique is the extraction of entities, which allows computers to identify relevant information within a text. This paper presents a methodology for the recognition of medical entities within a texts written in Spanish. The methodology combines syntactic, semantic, and contextual features at the word level. The principal objective of a feature-based approach is the identification of drug, anatomy, and disease entities. A training evaluation was conducted on two types of machine learning algorithms, with an accuracy of 98\% on an external set. Additionally, an accuracy check was performed for each medical class.

Author Biographies

Gabriela A. García-Robledo, Universidad Autónoma del Estado de México, Centro Universitario Texcoco

Alumna de Doctorado en Ciencias de la Computación de la Universidad Autónoma del Estado de México, Centro Universitario Texcoco

Alma Delia Cuevas-Rasgado, Universidad Autónoma del Estado de México, Centro Universitario Texcoco

Profesora-Investigadora de la Universidad Autónoma del Estado de México, Centro Universitario Texcoco

Maricela Bravo, Universidad Autónoma Metropolitana, Unidad Azcapotzalco

Profesora-Investigadora de la Universidad Autónoma Metropolitana, Unidad Azcapotzalco

José A. Reyes-Ortiz, Universidad Autónoma Metropolitana, Unidad Azcapotzalco

Profesor-Investigador de la Universidad Autónoma Metropolitana, Unidad Azcapotzalco

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Published

2025-09-25

Issue

Vol. 29 No. 3 (2025): Vol 29 No 3 (2025)

Section

Articles

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