Publicação

Business intelligence for cardiovascular disease assessment

Ver documento

Detalhes bibliográficos
Resumo:The healthcare industry has historically generated large amounts of data for various reasons, from simple record keeping to improving patient care with foreknowledge of the subject's own medical history, not to mention the in-formation required for the organizations day-to-day operations in order to follow its' own compliance and regulatory requirements. This project primarily consists in the development of a Data Warehouse in order to transform the abundant and heterogeneous clinical data in a single multidimensional structure capable of responding promptly to the information consulting needs with no redundancy. The data being treated contains information about patients hospitalized in Cardiovascular Accidents' unit in 2016 for having suffered a cardiovascular accident. The final goal of this project is the construction of indicators using interactive data visualization BI tools through Power BI. With these indicators, it was made an analysis of multidimensional data interactively from multiple perspectives and a comparison between that data and statistics obtained from different studies.
Autores principais:Silva, Cristiana
Outros Autores:Pereira, Joana; Costa, Luis; Peixoto, Hugo Daniel Abreu; Machado, José Manuel; Abelha, António
Assunto:Business Intelligence Cerebrovascular Accidents Data Warehousing Health Information Systems
Ano:2017
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso restrito
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
_version_ 1867439643745583104
author Silva, Cristiana
author2 Pereira, Joana
Costa, Luis
Peixoto, Hugo Daniel Abreu
Machado, José Manuel
Abelha, António
author2_role author
author
author
author
author
author_facet Silva, Cristiana
Pereira, Joana
Costa, Luis
Peixoto, Hugo Daniel Abreu
Machado, José Manuel
Abelha, António
author_role author
contributor_name_str_mv RepositóriUM - Universidade do Minho
country_str PT
creators_json_txt [{\"Person.name\":\"Silva, Cristiana\"},{\"Person.name\":\"Pereira, Joana\"},{\"Person.name\":\"Costa, Luis\"},{\"Person.name\":\"Peixoto, Hugo Daniel Abreu\"},{\"Person.name\":\"Machado, José Manuel\"},{\"Person.name\":\"Abelha, António\"}]
datacite.contributors.contributor.contributorName.fl_str_mv RepositóriUM - Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Silva, Cristiana
Pereira, Joana
Costa, Luis
Peixoto, Hugo Daniel Abreu
Machado, José Manuel
Abelha, António
datacite.date.Accepted.fl_str_mv 2017-01-01T00:00:00Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Business Intelligence
Cerebrovascular Accidents
Data Warehousing
Health Information Systems
datacite.titles.title.fl_str_mv Business intelligence for cardiovascular disease assessment
dc.contributor.none.fl_str_mv RepositóriUM - Universidade do Minho
dc.creator.none.fl_str_mv Silva, Cristiana
Pereira, Joana
Costa, Luis
Peixoto, Hugo Daniel Abreu
Machado, José Manuel
Abelha, António
dc.date.Accepted.fl_str_mv 2017-01-01T00:00:00Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/58303
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Business Intelligence
Cerebrovascular Accidents
Data Warehousing
Health Information Systems
dc.title.fl_str_mv Business intelligence for cardiovascular disease assessment
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description The healthcare industry has historically generated large amounts of data for various reasons, from simple record keeping to improving patient care with foreknowledge of the subject's own medical history, not to mention the in-formation required for the organizations day-to-day operations in order to follow its' own compliance and regulatory requirements. This project primarily consists in the development of a Data Warehouse in order to transform the abundant and heterogeneous clinical data in a single multidimensional structure capable of responding promptly to the information consulting needs with no redundancy. The data being treated contains information about patients hospitalized in Cardiovascular Accidents' unit in 2016 for having suffered a cardiovascular accident. The final goal of this project is the construction of indicators using interactive data visualization BI tools through Power BI. With these indicators, it was made an analysis of multidimensional data interactively from multiple perspectives and a comparison between that data and statistics obtained from different studies.
dirty 0
eu_rights_str_mv restrictedAccess
format conferencePaper
fulltext.url.fl_str_mv https://repositorium.uminho.pt/bitstreams/d04efaf2-9d4c-4fe2-b0d4-b005b27003ee/download
id rum_6fa2f181a23a6b98daeb4e62edd086ef
identifier.url.fl_str_mv https://hdl.handle.net/1822/58303
instacron_str repositorium
institution Universidade do Minho
instname_str Universidade do Minho
language eng
network_acronym_str rum
network_name_str RepositóriUM - Universidade do Minho
oai_identifier_str oai:repositorium.uminho.pt:1822/58303
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Silva, Cristiana
Pereira, Joana
Costa, Luis
Peixoto, Hugo Daniel Abreu
Machado, José Manuel
Abelha, António
publishDate 2017
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
reponame_str RepositóriUM - Universidade do Minho
repository_id_str urn:repositoryAcronym:rum
service_str_mv urn:repositoryAcronym:rum
spelling engInstitute of Electrical and Electronics Engineers Inc.porThe healthcare industry has historically generated large amounts of data for various reasons, from simple record keeping to improving patient care with foreknowledge of the subject's own medical history, not to mention the in-formation required for the organizations day-to-day operations in order to follow its' own compliance and regulatory requirements. This project primarily consists in the development of a Data Warehouse in order to transform the abundant and heterogeneous clinical data in a single multidimensional structure capable of responding promptly to the information consulting needs with no redundancy. The data being treated contains information about patients hospitalized in Cardiovascular Accidents' unit in 2016 for having suffered a cardiovascular accident. The final goal of this project is the construction of indicators using interactive data visualization BI tools through Power BI. With these indicators, it was made an analysis of multidimensional data interactively from multiple perspectives and a comparison between that data and statistics obtained from different studies.application/pdfporBusiness intelligence for cardiovascular disease assessmentSilva, CristianaPereira, JoanaCosta, LuisPeixoto, Hugo Daniel AbreuMachado, José ManuelAbelha, AntónioHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf9781538632819DOIIsPartOf10.1109/FiCloudW.2017.9020172019-01-15T16:54:17Z2017-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/58303http://purl.org/coar/access_right/c_16ecrestricted accessBusiness IntelligenceCerebrovascular AccidentsData WarehousingHealth Information Systems522449 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://repositorium.uminho.pt/bitstreams/d04efaf2-9d4c-4fe2-b0d4-b005b27003ee/download
spellingShingle Business intelligence for cardiovascular disease assessment
Silva, Cristiana
Business Intelligence
Cerebrovascular Accidents
Data Warehousing
Health Information Systems
status SINGLETON
subject.fl_str_mv Business Intelligence
Cerebrovascular Accidents
Data Warehousing
Health Information Systems
title Business intelligence for cardiovascular disease assessment
title_full Business intelligence for cardiovascular disease assessment
title_fullStr Business intelligence for cardiovascular disease assessment
title_full_unstemmed Business intelligence for cardiovascular disease assessment
title_short Business intelligence for cardiovascular disease assessment
title_sort Business intelligence for cardiovascular disease assessment
topic Business Intelligence
Cerebrovascular Accidents
Data Warehousing
Health Information Systems
topic_facet Business Intelligence
Cerebrovascular Accidents
Data Warehousing
Health Information Systems
url https://hdl.handle.net/1822/58303
visible 1