Transplant Open Registry Initiative

Detalhes bibliográficos
Autor(a) principal: Lima, Bruno
Data de Publicação: 2022
Outros Autores: Henriques, Teresa, Reis, Filipe, Alves, Helena
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/8618
Resumo: Health data science aims to extract knowledge from data allowing better decision-making, using multidisciplinary approaches from fields such as computation, statistics, epidemiology, and several medical knowledge domains. We live in the ‘big data’ era, with a growing availability of health data, in volume, variety, and velocity, also for tasks such as kidney transplantation. Hereby, secondary use of this health data must be encouraged to improve patient care planning, disease research, and policymaking around transplantation. This article presents the Transplant Open Registry (TxOR) website where some health data science applications on kidney transplantation are available. With it, we try to answer, some of the remaining questions on kidney transplantation in Portugal, with a new approach.
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spelling Transplant Open Registry InitiativeInformation SystemsKidney TransplantationMachine LearningProcess AssessmentHealth CareTissue and Organ ProcurementHealth data science aims to extract knowledge from data allowing better decision-making, using multidisciplinary approaches from fields such as computation, statistics, epidemiology, and several medical knowledge domains. We live in the ‘big data’ era, with a growing availability of health data, in volume, variety, and velocity, also for tasks such as kidney transplantation. Hereby, secondary use of this health data must be encouraged to improve patient care planning, disease research, and policymaking around transplantation. This article presents the Transplant Open Registry (TxOR) website where some health data science applications on kidney transplantation are available. With it, we try to answer, some of the remaining questions on kidney transplantation in Portugal, with a new approach.This project received the “Antonio Morais Sar- mento” research grant from the Portuguese Society of Transplantation.Sociedade Portuguesa de NefrologiaRepositório Científico do Instituto Nacional de SaúdeLima, BrunoHenriques, TeresaReis, FilipeAlves, Helena2023-04-20T10:38:35Z2022-10-202022-10-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/8618engPort J Nephrol Hypert 2022; 36(4): 201-206. Epub 2022 out 200872-016910.32932/pjnh.2022.10.204info: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:RCAAP2023-07-20T15:42:36Zoai:repositorio.insa.pt:10400.18/8618Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:43:09.188178Repositório 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 Transplant Open Registry Initiative
title Transplant Open Registry Initiative
spellingShingle Transplant Open Registry Initiative
Lima, Bruno
Information Systems
Kidney Transplantation
Machine Learning
Process Assessment
Health Care
Tissue and Organ Procurement
title_short Transplant Open Registry Initiative
title_full Transplant Open Registry Initiative
title_fullStr Transplant Open Registry Initiative
title_full_unstemmed Transplant Open Registry Initiative
title_sort Transplant Open Registry Initiative
author Lima, Bruno
author_facet Lima, Bruno
Henriques, Teresa
Reis, Filipe
Alves, Helena
author_role author
author2 Henriques, Teresa
Reis, Filipe
Alves, Helena
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Lima, Bruno
Henriques, Teresa
Reis, Filipe
Alves, Helena
dc.subject.por.fl_str_mv Information Systems
Kidney Transplantation
Machine Learning
Process Assessment
Health Care
Tissue and Organ Procurement
topic Information Systems
Kidney Transplantation
Machine Learning
Process Assessment
Health Care
Tissue and Organ Procurement
description Health data science aims to extract knowledge from data allowing better decision-making, using multidisciplinary approaches from fields such as computation, statistics, epidemiology, and several medical knowledge domains. We live in the ‘big data’ era, with a growing availability of health data, in volume, variety, and velocity, also for tasks such as kidney transplantation. Hereby, secondary use of this health data must be encouraged to improve patient care planning, disease research, and policymaking around transplantation. This article presents the Transplant Open Registry (TxOR) website where some health data science applications on kidney transplantation are available. With it, we try to answer, some of the remaining questions on kidney transplantation in Portugal, with a new approach.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-20
2022-10-20T00:00:00Z
2023-04-20T10:38:35Z
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/10400.18/8618
url http://hdl.handle.net/10400.18/8618
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Port J Nephrol Hypert 2022; 36(4): 201-206. Epub 2022 out 20
0872-0169
10.32932/pjnh.2022.10.204
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 Sociedade Portuguesa de Nefrologia
publisher.none.fl_str_mv Sociedade Portuguesa de Nefrologia
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
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