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Title: Estudio y evaluación del sistema recomendador de articulos médicos, basado en la captura y síntesis de la historia clínica electrónica a través del uso de lenguaje natural y ontologías sanitarias perteneciente al proyecto HOPE
Author: Achkar Tuglaman, Nesib Nicolas
Director: Sánchez Bocanegra, Carlos Luis
Fernández Luque, Luis
Tutor: Saigí Rubió, Francesc
Keywords: natural language processing
health ontology
project HOPE
Issue Date: Jun-2018
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: The research group behind HOPE project, has developed an automatic recommender system for medical articles, capable of extracting structured data from free-text documents using natural language processing (NLP). This technological platform uses NLP to process large amounts of unstructured data to convert them into health ontologies, allowing efficient search in the main clinical databases. This paper presents the resultas of HOPE system evaluation for article recommendation on diagnosis and treatment in Oncology by searchs in Pubmed, Clinical Trials and MedlinePlus databases and the agreement with medical experts.
Language: Spanish
Appears in Collections:Bachelor thesis, research projects, etc.

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