A newborn screening platform with multiple data formats and pathologies
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/37005 |
Resumo: | It is currently difficult to find a society that is not surrounded by new technologies, which are constantly emerging and evolving. With this technological evolution, many areas also began to enter a new era, as is the case of medicine, more specifically the screening of metabolic diseases in newborns. For a long time, it has been a great concern to discover the reasons why newborn babies, apparently healthy, die. With the emergence of new analysis techniques, it was possible to begin to unravel and find solutions to avoid these fatalities. Nowadays, there are already programs for diagnosing metabolic diseases in newborns and equipment capable of analyzing samples that allow diagnosing these diseases. In order to support technicians who examine the data coming from these equipment, and to prevent errors, there was a need to create systems capable of providing this support. |
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A newborn screening platform with multiple data formats and pathologiesDecision support systemDiagnostic softwareNewborn screeningRBACRest APIIt is currently difficult to find a society that is not surrounded by new technologies, which are constantly emerging and evolving. With this technological evolution, many areas also began to enter a new era, as is the case of medicine, more specifically the screening of metabolic diseases in newborns. For a long time, it has been a great concern to discover the reasons why newborn babies, apparently healthy, die. With the emergence of new analysis techniques, it was possible to begin to unravel and find solutions to avoid these fatalities. Nowadays, there are already programs for diagnosing metabolic diseases in newborns and equipment capable of analyzing samples that allow diagnosing these diseases. In order to support technicians who examine the data coming from these equipment, and to prevent errors, there was a need to create systems capable of providing this support.Atualmente é dificil encontrar uma sociedade que não se rodeie com as novas tecnologias, que não param de surgir e evolir. Com esta evolução tecnológica, muitas àreas começaram também a entrar numa nova era, como é o caso da medicina, mais especifiacamente o rastreio de doenças metabólicas em recém nascidos. À muito tempo, que é uma grande preocupação descobrir os motivos aos quais levavam bebés recém nascidos, aparentemente saudáveis, a vir a falecer. Com o aparecimento de novas técnicas de análise, foi possível começar a desvendar e encontrar soluções para evitar essas fatalidades. Nos dias de hoje, já existem programas para diagnóstico de doenças metabólicas em recém nascidos e equipamentos capazes de analisar amostras que permitem diagnosticar essas doenças. Tendo em vista dar suporte a técnicos que examinam os dados vindos desses equipamentos, e prevenir erros, houve a necessidade de criar sistemas capazes de dar esse apoio.2023-04-13T15:14:57Z2022-11-30T00:00:00Z2022-11-30info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/37005engAndrade, Diogo André Lopesinfo: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:RCAAP2024-02-22T12:11:01Zoai:ria.ua.pt:10773/37005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:07:31.580704Repositório 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 |
A newborn screening platform with multiple data formats and pathologies |
title |
A newborn screening platform with multiple data formats and pathologies |
spellingShingle |
A newborn screening platform with multiple data formats and pathologies Andrade, Diogo André Lopes Decision support system Diagnostic software Newborn screening RBAC Rest API |
title_short |
A newborn screening platform with multiple data formats and pathologies |
title_full |
A newborn screening platform with multiple data formats and pathologies |
title_fullStr |
A newborn screening platform with multiple data formats and pathologies |
title_full_unstemmed |
A newborn screening platform with multiple data formats and pathologies |
title_sort |
A newborn screening platform with multiple data formats and pathologies |
author |
Andrade, Diogo André Lopes |
author_facet |
Andrade, Diogo André Lopes |
author_role |
author |
dc.contributor.author.fl_str_mv |
Andrade, Diogo André Lopes |
dc.subject.por.fl_str_mv |
Decision support system Diagnostic software Newborn screening RBAC Rest API |
topic |
Decision support system Diagnostic software Newborn screening RBAC Rest API |
description |
It is currently difficult to find a society that is not surrounded by new technologies, which are constantly emerging and evolving. With this technological evolution, many areas also began to enter a new era, as is the case of medicine, more specifically the screening of metabolic diseases in newborns. For a long time, it has been a great concern to discover the reasons why newborn babies, apparently healthy, die. With the emergence of new analysis techniques, it was possible to begin to unravel and find solutions to avoid these fatalities. Nowadays, there are already programs for diagnosing metabolic diseases in newborns and equipment capable of analyzing samples that allow diagnosing these diseases. In order to support technicians who examine the data coming from these equipment, and to prevent errors, there was a need to create systems capable of providing this support. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-30T00:00:00Z 2022-11-30 2023-04-13T15:14:57Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/37005 |
url |
http://hdl.handle.net/10773/37005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.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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1799137729955495936 |