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dc.date.accessioned 2012-07-18T14:38:54Z
dc.date.available 2012-07-18T14:38:54Z
dc.date.issued 2011
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/18758
dc.description.abstract This paper presents the integration of two technology tendencies: telemedicine and web mining with the aim of propose a model of real-time diagnosis, along with added services for consultation and monitoring to assist medical staff to use new tools ICT for disease diagnosis. It has defined four stages: (A) Design of hardware, including communications and sensor integration of the patient. (B) Implementation of the Zigbee network for monitoring biomedical sensors. (C) Classification of information Web on medical domain, (D) Development of an algorithm for extraction and information integration. The results are presented as biomedical signal transmission to Internet server in real time, and extracted classified information internet medical domain, in order to generate diagnoses and treatment based on patient monitoring. en
dc.format.extent 1019-1026 es
dc.language es es
dc.subject Telemedicina es
dc.subject Zigbee networks; web mining; semantic web; bioinstrumentation. en
dc.subject Data mining es
dc.title Redes inalámbricas y técnicas de minería Web aplicadas a un modelo de telemedicina es
dc.type Objeto de conferencia es
sedici.creator.person Cifuentes García, Carlos Andrés es
sedici.creator.person Suarez Baron, Marco Javier es
sedici.description.note Presentado en el VIII Workshop Bases de Datos y Minería de Datos (WBDDM) es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2011-10
sedici.relation.event XVII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)