A Case-Based Approach to Nosocomial Infection Detection

Bibliographic Details
Main Author: Faria, Ricardo
Publication Date: 2016
Other Authors: Vicente, Henrique, Abelha, António, Santos, M. Filipe, Machado, José, Neves, José
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10174/19719
https://doi.org/10.1007/978-3-319-39384-1_14
Summary: The nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it caters for the explicit treatment of incomplete, unknown, or even contradictory information under a logic programming basis, that to our knowledge is something that happens for the first time.
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spelling A Case-Based Approach to Nosocomial Infection DetectionNosocomial InfectionHealthcareKnowledge Representation and ReasoningLogic ProgrammingCase-Based ReasoningSimilarity AnalysisThe nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it caters for the explicit treatment of incomplete, unknown, or even contradictory information under a logic programming basis, that to our knowledge is something that happens for the first time.Springer International Publishing2017-01-10T16:51:51Z2017-01-102016-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10174/19719http://hdl.handle.net/10174/19719https://doi.org/10.1007/978-3-319-39384-1_14engFaria, R., Vicente, H., Abelha, A., Santos, M. F., Machado, J. & Neves, J. A Case-Based Approach to Nosocomial Infection Detection. In L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh & J. M. Zurada, Eds., Artificial Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence, Vol. 9693, pp. 159–168, Springer International Publishing, Cham, Switzerland, 2016.Cham, Switzerland978-3-319-39383-40302-9743http://link.springer.com/chapter/10.1007/978-3-319-39384-1_141ª10ricardo.mof@hotmail.comhvicente@uevora.ptabelha@di.uminho.ptmfs@dsi.uminho.ptjmac@di.uminho.ptjneves@di.uminho.ptFaria, RicardoVicente, HenriqueAbelha, AntónioSantos, M. FilipeMachado, JoséNeves, Joséinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T19:07:21Zoai:dspace.uevora.pt:10174/19719Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:10:54.324152Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A Case-Based Approach to Nosocomial Infection Detection
title A Case-Based Approach to Nosocomial Infection Detection
spellingShingle A Case-Based Approach to Nosocomial Infection Detection
Faria, Ricardo
Nosocomial Infection
Healthcare
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
Similarity Analysis
title_short A Case-Based Approach to Nosocomial Infection Detection
title_full A Case-Based Approach to Nosocomial Infection Detection
title_fullStr A Case-Based Approach to Nosocomial Infection Detection
title_full_unstemmed A Case-Based Approach to Nosocomial Infection Detection
title_sort A Case-Based Approach to Nosocomial Infection Detection
author Faria, Ricardo
author_facet Faria, Ricardo
Vicente, Henrique
Abelha, António
Santos, M. Filipe
Machado, José
Neves, José
author_role author
author2 Vicente, Henrique
Abelha, António
Santos, M. Filipe
Machado, José
Neves, José
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Faria, Ricardo
Vicente, Henrique
Abelha, António
Santos, M. Filipe
Machado, José
Neves, José
dc.subject.por.fl_str_mv Nosocomial Infection
Healthcare
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
Similarity Analysis
topic Nosocomial Infection
Healthcare
Knowledge Representation and Reasoning
Logic Programming
Case-Based Reasoning
Similarity Analysis
description The nosocomial infections are a growing concern because they affect a large number of people and they increase the admission time in healthcare facilities. Additionally, its diagnosis is very tricky, requiring multiple medical exams. So, this work is focused on the development of a clinical decision support system to prevent these events from happening. The proposed solution is unique once it caters for the explicit treatment of incomplete, unknown, or even contradictory information under a logic programming basis, that to our knowledge is something that happens for the first time.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01T00:00:00Z
2017-01-10T16:51:51Z
2017-01-10
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/19719
http://hdl.handle.net/10174/19719
https://doi.org/10.1007/978-3-319-39384-1_14
url http://hdl.handle.net/10174/19719
https://doi.org/10.1007/978-3-319-39384-1_14
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Faria, R., Vicente, H., Abelha, A., Santos, M. F., Machado, J. & Neves, J. A Case-Based Approach to Nosocomial Infection Detection. In L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh & J. M. Zurada, Eds., Artificial Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence, Vol. 9693, pp. 159–168, Springer International Publishing, Cham, Switzerland, 2016.
Cham, Switzerland
978-3-319-39383-4
0302-9743
http://link.springer.com/chapter/10.1007/978-3-319-39384-1_14
1ª
10
ricardo.mof@hotmail.com
hvicente@uevora.pt
abelha@di.uminho.pt
mfs@dsi.uminho.pt
jmac@di.uminho.pt
jneves@di.uminho.pt
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer International Publishing
publisher.none.fl_str_mv Springer International Publishing
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833592595564986368

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