Una visión general sobre las imágenes del área de la salud: una propuesta de construcción de una ontología

The images of the field of health are of great importance to confirm or deny the existence of a disease, allowing a greater accuracy in diagnostic investigations and treatment of diseases. They are rich sources of information and therefore require treatment of information. In this context, this article is part and presents the results of a research whose objective is to design and build an image domain ontology from nephrology aiming indexal representation and retrieval of imagery in the electronic environment. The corpus of the study was the electronic patient record. The ontology of the verbal text was built in Protégé-software-Stanford University and imported into the software Active Media Software - Ontology-based Annotation system Sheffield University, to build the ontology of the image. The results show that it is possible to build ontologies from texts verbal and nonverbal, with the union of these two softwares

Uma visão geral sobre as imagens da área da saúde: uma proposta de construção de uma ontologia

The images of the field of health are of great importance to confirm or deny the existence of a disease, allowing a greater accuracy in diagnostic investigations and treatment of diseases. They are rich sources of information and therefore require treatment of information. In this context, this article is part and presents the results of a research whose objective is to design and build an image domain ontology from nephrology aiming indexal representation and retrieval of imagery in the electronic environment. The corpus of the study was the electronic patient record. The ontology of the verbal text was built in Protégé-software-Stanford University and imported into the software Active Media Software - Ontology-based Annotation system Sheffield University, to build the ontology of the image. The results show that it is possible to build ontologies from texts verbal and nonverbal, with the union of these two softwares.Las imágenes del área de la salud son de gran importancia para confirmar la existencia o no de una enfermedad, lo que permite una mayor precisión en los diagnósticos y el tratamiento de patologías. Son ricas fuentes de información y, por lo tanto, requieren una organización informacional. Es en ese contexto que se inscribe este artículo en donde se presentan los resultados de una investigación cuyo objetivo es planificar y construir una ontología de la imagen del campo de la nefrología destinado a la representación de la indización y la recuperación de imágenes en ámbitos electrónicos. El corpus de este estudio son las historias clínicas electrónicas de los pacientes. La ontología del texto verbal se construyó con el software Protégé -Universidad de Stanford- e importada para el Active Media Software - Ontology Based Annotation system -Universidad Sheffield- para la construcción de la ontología de la imagen. Los resultados muestran que es posible construir ontologías de textos verbales y no verbales, con la unión de estos dos programas.As imagens da área da saúde são de grande importancia para confirmar a existência ou não de uma doença, o que permite uma maior precisão nos diagnósticos e tratamentos de patologias.  São ricas fontes de informação e, portanto, requerem uma organização informacional. É nesse contexto que se inclui este artigo e onde se apresentam os resultados de uma investigação cujo objetivo é planejar e construir uma ontología de imagen do campo da nefrología destinada à representação da indexação e recuperação de imagens em ámbitos eletrônicos. O corpus deste estudo são as histórias clínicas eletrônicas dos pacientes. A ontologia do texto verbal se construiu com o software Protégé University of Stanford e importada para o Active Media Software - Ontology Based Annotation system University of Sheffield- para a construção da ontologia da imagen. Os resultados mostram que é possível construir ontologias de textos verbais e não verbais, com a união desses dois programas

Some views about images of the health context: a proposal for construction of an ontology

Las imágenes del área de la salud son de gran importancia para confirmar la existencia o no de una enfermedad, lo que permite una mayor precisión en los diagnósticos y el tratamiento de patologías. Son ricas fuentes de información y, por lo tanto, requieren una organización informacional. Es en ese contexto que se inscribe este artículo en donde se presentan los resultados de una investigación cuyo objetivo es planificar y construir una ontología de la imagen del campo de la nefrología destinado a la representación de la indización y la recuperación de imágenes en ámbitos electrónicos. El corpus de este estudio son las historias clínicas electrónicas de los pacientes. La ontología del texto verbal se construyó con el software Protégé -Universidad de Stanford- e importada para el Active Media Software - Ontology Based Annotation system -Universidad Sheffield- para la construcción de la ontología de la imagen. Los resultados muestran que es posible construir ontologías de textos verbales y no verbales con la unión de estos dos programas.ABSTRACT: The images of the field of health are of great importance to confirm or deny the existence of a disease, allowing a greater accuracy in diagnostic investigations and treatment of diseases. They are rich sources of information and therefore require treatment of information. In this context, this article is part and presents the results of a research whose objective is to design and build an image domain ontology from nephrology aiming indexal representation and retrieval of imagery in the electronic environment. The corpus of the study was the electronic patient record. The ontology of the verbal text was built in Protégé-software- Stanford University and imported into the software Active Media Software - Ontology-based Annotation system Sheffield University, to build the ontology of the image. The results show that it is possible to build ontologies from texts verbal and nonverbal, with the union of these two softwares