Real-time intelligent decision support and monitoring system of critical patients

Detalhes bibliográficos
Autor(a) principal: Portela, Filipe
Data de Publicação: 2017
Outros Autores: Dos Santos, Manuel Filipe Vieira Torres, Abelha, António, Machado, José Manuel, Silva, Álvaro Moreira, Martins, Fernando Rua
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/78025
Resumo: Intensive care units are places where patients’ vital signs are continuously monitored and recorded alongside a multiplicity of clinical parameters. The main goal of this work is to study and develop an intelligent system to promote new decision-making knowledge crucial to provide better treatment to the patient. This article presents the achieved goals; in particular, the system developed for monitoring the clinical data and, using data mining technologies, for predicting clinical events with great sensitivity (90–100%), including organ failure probability, read-missions, and sepsis.
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spelling Real-time intelligent decision support and monitoring system of critical patientsSistema inteligente de apoio à decisão e monitorização de doentes críticos em tempo-realData miningIntelligent decision support systemIntensive medicineReal-time online learningIntensive care units are places where patients’ vital signs are continuously monitored and recorded alongside a multiplicity of clinical parameters. The main goal of this work is to study and develop an intelligent system to promote new decision-making knowledge crucial to provide better treatment to the patient. This article presents the achieved goals; in particular, the system developed for monitoring the clinical data and, using data mining technologies, for predicting clinical events with great sensitivity (90–100%), including organ failure probability, read-missions, and sepsis.Este trabalho foi apoiado por fundos nacionais – FCT – Fundação para a Ciência e a Tecnologia no âmbito do projeto FCOMP-01-0124-FEDER-022674 e está enquadrado no projeto de investigação financiado pela FCT: INTCare II – PTDC/EEI-SII/1302/2012Karger AGUniversidade do MinhoPortela, FilipeDos Santos, Manuel Filipe Vieira TorresAbelha, AntónioMachado, José ManuelSilva, Álvaro MoreiraMartins, Fernando Rua20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/78025engda Silva Portela, C. F., Vieira Torres dos Santos, M. F., da Silva Abelha, A. C., Machado, J. M., Moreira Silva, Á., & Rua Martins, F. (2017). Sistema inteligente de apoio à decisão e monitorização de doentes críticos em tempo-real. Portuguese Journal of Public Health, 35(3), 179-192. doi: 10.1159/0004861462504-31372504-314510.1159/000486146https://www.karger.com/Article/FullText/486146info: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:RCAAP2023-07-21T12:51:05Zoai:repositorium.sdum.uminho.pt:1822/78025Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:49:54.340426Repositório 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 Real-time intelligent decision support and monitoring system of critical patients
Sistema inteligente de apoio à decisão e monitorização de doentes críticos em tempo-real
title Real-time intelligent decision support and monitoring system of critical patients
spellingShingle Real-time intelligent decision support and monitoring system of critical patients
Portela, Filipe
Data mining
Intelligent decision support system
Intensive medicine
Real-time online learning
title_short Real-time intelligent decision support and monitoring system of critical patients
title_full Real-time intelligent decision support and monitoring system of critical patients
title_fullStr Real-time intelligent decision support and monitoring system of critical patients
title_full_unstemmed Real-time intelligent decision support and monitoring system of critical patients
title_sort Real-time intelligent decision support and monitoring system of critical patients
author Portela, Filipe
author_facet Portela, Filipe
Dos Santos, Manuel Filipe Vieira Torres
Abelha, António
Machado, José Manuel
Silva, Álvaro Moreira
Martins, Fernando Rua
author_role author
author2 Dos Santos, Manuel Filipe Vieira Torres
Abelha, António
Machado, José Manuel
Silva, Álvaro Moreira
Martins, Fernando Rua
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Portela, Filipe
Dos Santos, Manuel Filipe Vieira Torres
Abelha, António
Machado, José Manuel
Silva, Álvaro Moreira
Martins, Fernando Rua
dc.subject.por.fl_str_mv Data mining
Intelligent decision support system
Intensive medicine
Real-time online learning
topic Data mining
Intelligent decision support system
Intensive medicine
Real-time online learning
description Intensive care units are places where patients’ vital signs are continuously monitored and recorded alongside a multiplicity of clinical parameters. The main goal of this work is to study and develop an intelligent system to promote new decision-making knowledge crucial to provide better treatment to the patient. This article presents the achieved goals; in particular, the system developed for monitoring the clinical data and, using data mining technologies, for predicting clinical events with great sensitivity (90–100%), including organ failure probability, read-missions, and sepsis.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01T00:00:00Z
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 https://hdl.handle.net/1822/78025
url https://hdl.handle.net/1822/78025
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv da Silva Portela, C. F., Vieira Torres dos Santos, M. F., da Silva Abelha, A. C., Machado, J. M., Moreira Silva, Á., & Rua Martins, F. (2017). Sistema inteligente de apoio à decisão e monitorização de doentes críticos em tempo-real. Portuguese Journal of Public Health, 35(3), 179-192. doi: 10.1159/000486146
2504-3137
2504-3145
10.1159/000486146
https://www.karger.com/Article/FullText/486146
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 Karger AG
publisher.none.fl_str_mv Karger AG
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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