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dc.contributor.authorBajo Pérez, Javier
dc.contributor.authorDe Paz, Juan F. 
dc.contributor.authorde Paz Santana, Yanira
dc.contributor.authorCorchado Rodríguez, Juan Manuel 
dc.date.accessioned2017-09-05T11:02:06Z
dc.date.available2017-09-05T11:02:06Z
dc.date.issued2009
dc.identifier.citationExpert Systems with Applications. Volumen 36 (3), pp. 5844-5858. Elsevier BV.
dc.identifier.issn0957-4174 (Print)
dc.identifier.urihttp://hdl.handle.net/10366/134423
dc.description.abstractThis paper presents an intelligent environment developed for monitoring patients’ health care in execution time in hospital environments. The CBPMP (case-based planner for monitoring patients) is an autonomous deliberative case-based planner designed to plan the nurses’ working time dynamically, to maintain the standard working reports about the nurses’ activities, and to guarantee that the patients assigned to the nurses are given the right care. The planner operates in wireless devices and is integrated with complementary software into an intelligent environment, named AmI-P (Ambient Intelligence for patients). CBPMP description, its relationship with the complementary technology, and preliminary results of system prototype in a real environment are presented.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherElsevier BV
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleIntegrating case-based planning and RPTW neural networks to construct an intelligent environment for health care
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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