Please use this identifier to cite or link to this item: http://hdl.handle.net/10366/134423
Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care: Profile on PlumX
Title: Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care
Authors: Bajo Pérez, Javier
de Paz Santana, Juan F.
de Paz Santana, Yanira
Corchado Rodríguez, Juan M.
Keywords: Computer Science
Issue Date: 2009
Publisher: Elsevier BV
Citation: Expert Systems with Applications. Volumen 36 (3), pp. 5844-5858. Elsevier BV.
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.
URI: http://hdl.handle.net/10366/134423
ISSN: 0957-4174 (Print)
Appears in Collections:BISITE. Artículos de revista

Files in This Item:
File Description SizeFormat 
expertsystem2008.pdf586,09 kBAdobe PDFThumbnail
View/Open


This item is is subject to a Creative Commons License