A unified Knowledge Discovery tool within the scope of patient follow-up
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10362/155376 |
Resumo: | The number of chronic patients is increasing worldwide, driving the need to have new and innovative ways to monitor patients. Knowledge Discovery can aid in multiple areas, including healthcare. One of the challenges of Knowledge Discovery projects is the fact that usually the different steps of the project are conducted with separate tools, and requires the assistance of data specialists with coding skills. To help physicians follow up with their patients, and at the same time help researchers conduct Knowledge Discovery studies, a web application tool was created. This tool aims to increase the normalization of the data collection process and help with the application of pre-established business rules, through the possibility to manage forms with multiple types of questions and to structure an evaluation using rules to analyze the given answers, providing the answerer with a response. It also makes the data visualization and preparation process more convenient by offering the capability to visualized and process the collected data from the forms, using implemented filters or through functions that can be defined. Finally, it is possible to extract knowledge from the collected data throughout integrated learning algorithms (supervised and unsupervised) that create models.By loading an already collected data set to test the tool, it becomes clear the applicability of the tool and how practical it makes Knowledge Discovery projects. As a unified Knowledge Discovery tool, able to help with patient follow-up and guidance, this tool was implemented in two projects in the field of medicine, one targeting patients with juvenile rheumatic diseases at the Portuguese Egas Moniz Hospital and the other directed to patients after the end of oncological treatment on the Spanish Puerta de Hierro University Hospital. |
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A unified Knowledge Discovery tool within the scope of patient follow-upDecision Support SystemsDigital HealthcareKnowledge DiscoveryWeb Application ToolStandardizationDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaThe number of chronic patients is increasing worldwide, driving the need to have new and innovative ways to monitor patients. Knowledge Discovery can aid in multiple areas, including healthcare. One of the challenges of Knowledge Discovery projects is the fact that usually the different steps of the project are conducted with separate tools, and requires the assistance of data specialists with coding skills. To help physicians follow up with their patients, and at the same time help researchers conduct Knowledge Discovery studies, a web application tool was created. This tool aims to increase the normalization of the data collection process and help with the application of pre-established business rules, through the possibility to manage forms with multiple types of questions and to structure an evaluation using rules to analyze the given answers, providing the answerer with a response. It also makes the data visualization and preparation process more convenient by offering the capability to visualized and process the collected data from the forms, using implemented filters or through functions that can be defined. Finally, it is possible to extract knowledge from the collected data throughout integrated learning algorithms (supervised and unsupervised) that create models.By loading an already collected data set to test the tool, it becomes clear the applicability of the tool and how practical it makes Knowledge Discovery projects. As a unified Knowledge Discovery tool, able to help with patient follow-up and guidance, this tool was implemented in two projects in the field of medicine, one targeting patients with juvenile rheumatic diseases at the Portuguese Egas Moniz Hospital and the other directed to patients after the end of oncological treatment on the Spanish Puerta de Hierro University Hospital.O número de doentes crónicos está a aumentar em todo o mundo, sendo necessário identificar processos inovadores para monitorizar pacientes. A Descoberta do Conhecimento é neste contexto uma disciplina fundamental. A área de Descoberta do Conhecimento acrescenta como desafios os vários passos que compõem o projecto serem conduzidos em ferramentas distintas, e a necessidade do acompanhamento de especialistas em ciência dos dados. De modo a ajudar profissionais de saúde no acompanhamento dos seus pacientes, e ao mesmo tempo unificar o processo de Descoberta do Conhecimento, foi criada uma ferramenta para aplicações web. Nesta ferramenta é possível gerir formulários com vários tipos de questões, adotando uma normalização na recolha de dados. Permite estruturar uma avaliação estabelecendo regras que analisam as respostas dadas, e devolver um resultado ao inquirido, permitindo assim a aplicação de regras de negócio pré-definidas. Os dados recolhidos com os formulários podem ser visualizados e tratados através de filtros implementados, ou através de funções que podem ser definidas, tornando o processo de visualização e tratamento dos dados mais prático. Na ferramenta também é possível criar modelos através de algoritmos de aprendizagem integrados (supervisionados e não supervisionados), a partir dos quais se pode extrair conhecimento, efetuar análises e retirar conclusões. Através do carregamento de um data set já criado, é clara a aplicabilidade da ferramenta e como facilita o processo de Descoberta do Conhecimento. Esta ferramenta está em produção em dois hospitais (Hospital Português Egas Moniz e Hospital Univercitário Puerta de Hierro em Espanha), de modo a auxiliar no acompanhamento dos pacientes e proporcionar aconselhamentos.Sousa, PedroPimentão, JoãoRUNAntónio, Francisco José de Souza2023-07-17T15:40:09Z2023-012023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/155376enginfo: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:RCAAP2024-03-11T05:37:56Zoai:run.unl.pt:10362/155376Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:56:02.411381Repositório 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 unified Knowledge Discovery tool within the scope of patient follow-up |
title |
A unified Knowledge Discovery tool within the scope of patient follow-up |
spellingShingle |
A unified Knowledge Discovery tool within the scope of patient follow-up António, Francisco José de Souza Decision Support Systems Digital Healthcare Knowledge Discovery Web Application Tool Standardization Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
title_short |
A unified Knowledge Discovery tool within the scope of patient follow-up |
title_full |
A unified Knowledge Discovery tool within the scope of patient follow-up |
title_fullStr |
A unified Knowledge Discovery tool within the scope of patient follow-up |
title_full_unstemmed |
A unified Knowledge Discovery tool within the scope of patient follow-up |
title_sort |
A unified Knowledge Discovery tool within the scope of patient follow-up |
author |
António, Francisco José de Souza |
author_facet |
António, Francisco José de Souza |
author_role |
author |
dc.contributor.none.fl_str_mv |
Sousa, Pedro Pimentão, João RUN |
dc.contributor.author.fl_str_mv |
António, Francisco José de Souza |
dc.subject.por.fl_str_mv |
Decision Support Systems Digital Healthcare Knowledge Discovery Web Application Tool Standardization Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
topic |
Decision Support Systems Digital Healthcare Knowledge Discovery Web Application Tool Standardization Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
description |
The number of chronic patients is increasing worldwide, driving the need to have new and innovative ways to monitor patients. Knowledge Discovery can aid in multiple areas, including healthcare. One of the challenges of Knowledge Discovery projects is the fact that usually the different steps of the project are conducted with separate tools, and requires the assistance of data specialists with coding skills. To help physicians follow up with their patients, and at the same time help researchers conduct Knowledge Discovery studies, a web application tool was created. This tool aims to increase the normalization of the data collection process and help with the application of pre-established business rules, through the possibility to manage forms with multiple types of questions and to structure an evaluation using rules to analyze the given answers, providing the answerer with a response. It also makes the data visualization and preparation process more convenient by offering the capability to visualized and process the collected data from the forms, using implemented filters or through functions that can be defined. Finally, it is possible to extract knowledge from the collected data throughout integrated learning algorithms (supervised and unsupervised) that create models.By loading an already collected data set to test the tool, it becomes clear the applicability of the tool and how practical it makes Knowledge Discovery projects. As a unified Knowledge Discovery tool, able to help with patient follow-up and guidance, this tool was implemented in two projects in the field of medicine, one targeting patients with juvenile rheumatic diseases at the Portuguese Egas Moniz Hospital and the other directed to patients after the end of oncological treatment on the Spanish Puerta de Hierro University Hospital. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-17T15:40:09Z 2023-01 2023-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/155376 |
url |
http://hdl.handle.net/10362/155376 |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
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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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1799138146643869696 |