Repositorio UFRO · Omeka S

Modeling the Architecture of an Intelligent Tutoring System Applied to Breast Cancer

Primer Autor	Maffon, H. P.
Co-autores	Brasil, L. M. Melo, J. S. Klavdianos, P. B. Curilem, G. M. J. S. Lamas, J. M.
Título	Modeling the Architecture of an Intelligent Tutoring System Applied to Breast Cancer
Editorial	IEEE
Revista	Pan American Health Care Exchanges
Lenguaje	en#pt
Resumen	This paper presents an Intelligent Tutoring System (ITS) applied to the teaching of anatomy of the female breast, including some types of cancer related to this organ. This ITS is composed of four modules: Student, an Expert System containing a questionnaire for the diagnosis of the learner's profile; Tutor, an Artificial Neural Network Interactive Activation and Competition, for the application of teaching techniques; Domain, some ontologies containing content and related media; and Interface, developed as an Adaptive Hypermedia System. The objective of this work is to lift requirements for the integration of various modeling types that use Artificial Intelligence techniques in the same ITS, even enabling the use of this system in a Medical Simulation Environment. The validation process of this ITS is in progress because the class period has not yet started at three universities: the University of Brasilia (Federal) and the Catholic University of Brasilia (Private), both located in Brasilia, Brazil, and the Universidad de La Frontera (Federal) located in Temuco, Chile.
Tipo de Recurso	Artículo de conferencia
Description	Os autores deste trabalho agradecem a CAPES, PQ 2F/CNPq e ao INCT/MACC por financiar e conceder apoio a pesquisa aqui realizada. Los autores de este trabajo agradecen a CAPES, PQ 2F/CNPq e INCT/MACC por la financiación y el apoyo brindados a la investigación aquí realizada.
doi	10.1109/PAHCE.2013.6568295
Formato Recurso	pdf
Palabras Claves	Artificial Neural Networks Expert Systems Intelligent Tutoring System Ontologies Redes neuronales artificiales Sistemas expertos Sistema de tutoría inteligente Ontologías
Ubicación del archivo	http://dx.doi.org/10.1109/PAHCE.2013.6568295
Materias	Artificial Neural Networks Expert Systems Intelligent Tutoring System Ontologies Redes neuronales artificiales Sistemas expertos Sistema de tutoría inteligente Ontologías
Disciplinas de la OCDE	Ciencias de la Computación Ingeniería de Sistemas y Comunicaciones Anatomía y Morfología
Título de la cita (Recomendado-único)	Modeling the Architecture of an Intelligent Tutoring System Applied to Breast Cancer
Revista/Libro	Pan American Health Care Exchanges
Tipo de ruta	suscripción
Access Rights	metadata
Derechos de acceso	metadata
Idioma	en#pt
Identificador del recurso (Mandatado-único)	Artículo de conferencia
Versión del recurso (Recomendado-único)	versión publicada
Lugar de la conferencia(Recomendado-repetible)	8th Pan American Health Care Exchanges Conference (PAHCE)
Fecha de la conferencia(Recomendado-repetible)	APR 29-MAY 04, 2013
Entidad financiadora	CAPES PQ 2F/CNPq#INCT/MACC
Referencia del Financiador (Mandatado si es aplicable-repetible)	CAPES PQ 2F/CNPq INCT/MACC
Editorial	IEEE
ISSN	2327-8161
ISBN	978-1-4673-6257-3; 978-1-4673-6254-2
Categoría WOS	Informática médica Medical Informatics
Formato	pdf
Id de Web of Science	WOS:000328694600090