<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-15T04:52:12Z</responseDate><request verb="GetRecord" identifier="oai:gredos.usal.es:10366/134423" metadataPrefix="mods">https://gredos.usal.es/oai/request</request><GetRecord><record><header><identifier>oai:gredos.usal.es:10366/134423</identifier><datestamp>2025-04-30T20:37:25Z</datestamp><setSpec>com_10366_122575</setSpec><setSpec>com_10366_4512</setSpec><setSpec>com_10366_3823</setSpec><setSpec>col_10366_134243</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Bajo Pérez, Javier</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>De Paz, Juan F.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>de Paz Santana, Yanira</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Corchado Rodríguez, Juan Manuel</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2017-09-05T11:02:06Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2017-09-05T11:02:06Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2009</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Expert Systems with Applications. Volumen 36 (3), pp. 5844-5858. Elsevier BV.</mods:identifier>
<mods:identifier type="issn">0957-4174 (Print)</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10366/134423</mods:identifier>
<mods:abstract>This 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.</mods:abstract>
<mods:language>
<mods:languageTerm>en</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">https://creativecommons.org/licenses/by-nc-nd/3.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivs 3.0 Unported</mods:accessCondition>
<mods:subject>
<mods:topic>Computer Science</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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