INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/4790 |
Resumo: | This paper introduces the INTCare system, an intelligent information system based on a completely automated Knowledge Discovery process and on the Agents paradigm. The system was designed to work in Hospital Intensive Care Units, supporting the physicians’ decisions by means of prognostic Data Mining models. In particular, these techniques were used to predict organ failure and mortality assessment. The main intention is to change the current reactive behaviour to a pro-active one, enhancing the quality of service. Current applications and experimentations, the functional and structural aspects, and technological options are presented. |
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INTCare: a knowledge discovery based intelligent decision support system for intensive care medicineIntelligent decision supportKnowledge discoveryIntensive careScience & TechnologyThis paper introduces the INTCare system, an intelligent information system based on a completely automated Knowledge Discovery process and on the Agents paradigm. The system was designed to work in Hospital Intensive Care Units, supporting the physicians’ decisions by means of prognostic Data Mining models. In particular, these techniques were used to predict organ failure and mortality assessment. The main intention is to change the current reactive behaviour to a pro-active one, enhancing the quality of service. Current applications and experimentations, the functional and structural aspects, and technological options are presented.Taylor & Francis LtdUniversidade do MinhoGago, PedroSantos, Manuel FilipeSilva, ÁlvaroCortez, PauloNeves, JoséGomes, Lopes20052005-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/4790engP. Gago, M.F. Santos, Á. Silva, P. Cortez, J. Neves and L. Gomes. INTCare: A Knowledge Discovery based Intelligent Decision Support System for Intensive Care Medicine. In Journal of Decision Systems, Special issue on "Design, Building and Evaluation of Intelligent DMSS'', Lavoisier, 14 (3): 241-259, 2005. ISSN:1246-0125.1246-012510.3166/jds.14.241-259http://jds.revuesonline.com/info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:41:14Zoai:repositorium.sdum.uminho.pt:1822/4790Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:38:09.965907Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine |
title |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine |
spellingShingle |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine Gago, Pedro Intelligent decision support Knowledge discovery Intensive care Science & Technology |
title_short |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine |
title_full |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine |
title_fullStr |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine |
title_full_unstemmed |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine |
title_sort |
INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine |
author |
Gago, Pedro |
author_facet |
Gago, Pedro Santos, Manuel Filipe Silva, Álvaro Cortez, Paulo Neves, José Gomes, Lopes |
author_role |
author |
author2 |
Santos, Manuel Filipe Silva, Álvaro Cortez, Paulo Neves, José Gomes, Lopes |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Gago, Pedro Santos, Manuel Filipe Silva, Álvaro Cortez, Paulo Neves, José Gomes, Lopes |
dc.subject.por.fl_str_mv |
Intelligent decision support Knowledge discovery Intensive care Science & Technology |
topic |
Intelligent decision support Knowledge discovery Intensive care Science & Technology |
description |
This paper introduces the INTCare system, an intelligent information system based on a completely automated Knowledge Discovery process and on the Agents paradigm. The system was designed to work in Hospital Intensive Care Units, supporting the physicians’ decisions by means of prognostic Data Mining models. In particular, these techniques were used to predict organ failure and mortality assessment. The main intention is to change the current reactive behaviour to a pro-active one, enhancing the quality of service. Current applications and experimentations, the functional and structural aspects, and technological options are presented. |
publishDate |
2005 |
dc.date.none.fl_str_mv |
2005 2005-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/4790 |
url |
http://hdl.handle.net/1822/4790 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
P. Gago, M.F. Santos, Á. Silva, P. Cortez, J. Neves and L. Gomes. INTCare: A Knowledge Discovery based Intelligent Decision Support System for Intensive Care Medicine. In Journal of Decision Systems, Special issue on "Design, Building and Evaluation of Intelligent DMSS'', Lavoisier, 14 (3): 241-259, 2005. ISSN:1246-0125. 1246-0125 10.3166/jds.14.241-259 http://jds.revuesonline.com/ |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis Ltd |
publisher.none.fl_str_mv |
Taylor & Francis Ltd |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132918258335744 |