Thrombophilia Screening – An Artificial Neural Network Approach

Detalhes bibliográficos
Autor(a) principal: Vilhena, João
Data de Publicação: 2015
Outros Autores: Martins, M. Rosário, Vicente, Henrique, Nelas, Luís, Machado, José, Neves, José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/12455
https://doi.org/10.5220/0005197500510059
Resumo: Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.
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spelling Thrombophilia Screening – An Artificial Neural Network ApproachThrombophilia Risk EvaluationKnowledge Representation and ReasoningLogic ProgrammingArtificial Neural NetworksThrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.Scitepress – Science and Technology Publications2015-01-15T18:14:45Z2015-01-152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/12455http://hdl.handle.net/10174/12455https://doi.org/10.5220/0005197500510059engVilhena, J., Martins, M. R., Vicente, H., Nelas, L., Machado, J., & Neves, J., Thrombophilia Screening – An Artificial Neural Network Approach. In C. Verdier, M. Bienkiewicz, A. Fred, H. Gamboa, & D. Elias Eds., Proceedings of the 8th International Conference on Health Informatics (HEALTHINF 2015), pp. 51–59, Scitepress – Science And Technology Publications, Lisbon, 2015.51-59978-989-758-068-0DQUI, ICAAMjmvilhena@gmail.commrm@uevora.pthvicente@uevora.ptluis.nelas@radiconsult.comjmac@di.uminho.ptjneves@di.uminho.ptProceedings of the 8th International Conference on Health Informatics (HEALTHINF 2015)Vilhena, JoãoMartins, M. RosárioVicente, HenriqueNelas, LuísMachado, JoséNeves, Joséinfo: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:RCAAP2024-01-03T18:56:40Zoai:dspace.uevora.pt:10174/12455Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:05:50.361275Repositório 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 Thrombophilia Screening – An Artificial Neural Network Approach
title Thrombophilia Screening – An Artificial Neural Network Approach
spellingShingle Thrombophilia Screening – An Artificial Neural Network Approach
Vilhena, João
Thrombophilia Risk Evaluation
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
title_short Thrombophilia Screening – An Artificial Neural Network Approach
title_full Thrombophilia Screening – An Artificial Neural Network Approach
title_fullStr Thrombophilia Screening – An Artificial Neural Network Approach
title_full_unstemmed Thrombophilia Screening – An Artificial Neural Network Approach
title_sort Thrombophilia Screening – An Artificial Neural Network Approach
author Vilhena, João
author_facet Vilhena, João
Martins, M. Rosário
Vicente, Henrique
Nelas, Luís
Machado, José
Neves, José
author_role author
author2 Martins, M. Rosário
Vicente, Henrique
Nelas, Luís
Machado, José
Neves, José
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Vilhena, João
Martins, M. Rosário
Vicente, Henrique
Nelas, Luís
Machado, José
Neves, José
dc.subject.por.fl_str_mv Thrombophilia Risk Evaluation
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
topic Thrombophilia Risk Evaluation
Knowledge Representation and Reasoning
Logic Programming
Artificial Neural Networks
description Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-15T18:14:45Z
2015-01-15
2015-01-01T00:00:00Z
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/10174/12455
http://hdl.handle.net/10174/12455
https://doi.org/10.5220/0005197500510059
url http://hdl.handle.net/10174/12455
https://doi.org/10.5220/0005197500510059
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Vilhena, J., Martins, M. R., Vicente, H., Nelas, L., Machado, J., & Neves, J., Thrombophilia Screening – An Artificial Neural Network Approach. In C. Verdier, M. Bienkiewicz, A. Fred, H. Gamboa, & D. Elias Eds., Proceedings of the 8th International Conference on Health Informatics (HEALTHINF 2015), pp. 51–59, Scitepress – Science And Technology Publications, Lisbon, 2015.
51-59
978-989-758-068-0
DQUI, ICAAM
jmvilhena@gmail.com
mrm@uevora.pt
hvicente@uevora.pt
luis.nelas@radiconsult.com
jmac@di.uminho.pt
jneves@di.uminho.pt
Proceedings of the 8th International Conference on Health Informatics (HEALTHINF 2015)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Scitepress – Science and Technology Publications
publisher.none.fl_str_mv Scitepress – Science and Technology Publications
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
_version_ 1799136543212830720

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