Transplant Open Registry Initiative
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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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 |
repository.mail.fl_str_mv |
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1799132177500209152 |