Publicação
An overview of Big Data architectures in healthcare
| Resumo: | It is proven that Big Data is related to an increase in efficiency and effectiveness in many areas. Although many studies have been conducted trying to prove the value of Big Data in healthcare/medicine, few practical advances have been made. In this project, an analysis and a comparison were made of the existing Big Data technologies applied in healthcare. We analyzed a Big Data solution developed for the INTCare project, a Hadoop-based solution proposed for the Maharaja Yeshwatrao hospital located in India and a solution that uses Apache Spark. The three solutions mentioned above are based on open source technology. The IBM PureData Solution for Healthcare Analytics solution used at Seattle’s Children’s Hospital and the Cisco Connected Health Solutions and Services solution are part of the proprietary solutions analyzed. |
|---|---|
| Autores principais: | Torres, Hugo |
| Outros Autores: | Portela, Filipe; Santos, Manuel |
| Assunto: | Big data HealthCare INTCare |
| Ano: | 2018 |
| 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_ | 1864250314675191808 |
|---|---|
| author | Torres, Hugo |
| author2 | Portela, Filipe Santos, Manuel |
| author2_role | author author |
| author_facet | Torres, Hugo Portela, Filipe Santos, Manuel |
| author_role | author |
| contributor_name_str_mv | Universidade do Minho |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Torres, Hugo\"},{\"Person.name\":\"Portela, Filipe\"},{\"Person.name\":\"Santos, Manuel\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Torres, Hugo Portela, Filipe Santos, Manuel |
| datacite.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| datacite.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Big data HealthCare INTCare |
| datacite.titles.title.fl_str_mv | An overview of Big Data architectures in healthcare |
| dc.contributor.none.fl_str_mv | Universidade do Minho |
| dc.creator.none.fl_str_mv | Torres, Hugo Portela, Filipe Santos, Manuel |
| dc.date.Accepted.fl_str_mv | 2018-01-01T00:00:00Z |
| dc.date.embargoed.fl_str_mv | 10000-01-01T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/67911 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer Verlag |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Big data HealthCare INTCare |
| dc.title.fl_str_mv | An overview of Big Data architectures in healthcare |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | It is proven that Big Data is related to an increase in efficiency and effectiveness in many areas. Although many studies have been conducted trying to prove the value of Big Data in healthcare/medicine, few practical advances have been made. In this project, an analysis and a comparison were made of the existing Big Data technologies applied in healthcare. We analyzed a Big Data solution developed for the INTCare project, a Hadoop-based solution proposed for the Maharaja Yeshwatrao hospital located in India and a solution that uses Apache Spark. The three solutions mentioned above are based on open source technology. The IBM PureData Solution for Healthcare Analytics solution used at Seattle’s Children’s Hospital and the Cisco Connected Health Solutions and Services solution are part of the proprietary solutions analyzed. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://prod-dspace.uminho.pt/bitstreams/da925c53-5997-41cb-955a-7257be65680d/download |
| id | rum_2e8bbc249eab5a5cd36282cbdd64e5c6 |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/67911 |
| 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:1822/67911 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Torres, Hugo Portela, Filipe Santos, Manuel |
| publishDate | 2018 |
| publisher.none.fl_str_mv | Springer Verlag |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engSpringer VerlagporIt is proven that Big Data is related to an increase in efficiency and effectiveness in many areas. Although many studies have been conducted trying to prove the value of Big Data in healthcare/medicine, few practical advances have been made. In this project, an analysis and a comparison were made of the existing Big Data technologies applied in healthcare. We analyzed a Big Data solution developed for the INTCare project, a Hadoop-based solution proposed for the Maharaja Yeshwatrao hospital located in India and a solution that uses Apache Spark. The three solutions mentioned above are based on open source technology. The IBM PureData Solution for Healthcare Analytics solution used at Seattle’s Children’s Hospital and the Cisco Connected Health Solutions and Services solution are part of the proprietary solutions analyzed.application/pdfporAn overview of Big Data architectures in healthcareTorres, HugoPortela, FilipeSantos, ManuelHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptISBNIsPartOf9783319776996ISSNIsPartOf2194-5357DOIIsPartOf10.1007/978-3-319-77700-9_1920182020-10-28T11:41:57Z10000-01-01T00:00:00Z2018-01-01T00:00:00ZHandlehttps://hdl.handle.net/1822/67911http://purl.org/coar/access_right/c_16ecrestricted accessBig dataHealthCareINTCare415626 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paperhttp://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://prod-dspace.uminho.pt/bitstreams/da925c53-5997-41cb-955a-7257be65680d/download |
| spellingShingle | An overview of Big Data architectures in healthcare Torres, Hugo Big data HealthCare INTCare |
| subject.fl_str_mv | Big data HealthCare INTCare |
| title | An overview of Big Data architectures in healthcare |
| title_full | An overview of Big Data architectures in healthcare |
| title_fullStr | An overview of Big Data architectures in healthcare |
| title_full_unstemmed | An overview of Big Data architectures in healthcare |
| title_short | An overview of Big Data architectures in healthcare |
| title_sort | An overview of Big Data architectures in healthcare |
| topic | Big data HealthCare INTCare |
| topic_facet | Big data HealthCare INTCare |
| url | https://hdl.handle.net/1822/67911 |
| visible | 1 |