Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations

Detalhes bibliográficos
Autor(a) principal: Silva, Ricardo Miguel de Sousa Coelho da
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/96184
Resumo: Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovationsLead UserPatient InnovationText ClassificationNatural Language ProcessingDissertation presented as partial requirement for obtaining the Master’s degree in Information Management, specialization in Knowledge Management and Business IntelligenceThere is an ongoing paradigm shift in healthcare, with patients increasingly controlling their own health. Patient Innovation is an excellent example of this shift. Observation of the Patient-innovation platform, the largest repository of Patient Innovations in the world, shows most contributions are published by the platform’s staff. Online search for Patient Innovations is a resource-consuming task for very rare outcomes. A novel system to complement such human effort is proposed in the form of a “News Article Listener” to reduce large sets of news articles to a subset of articles that are likely to describe Patient Innovations. Initial tests reduced a set of 14,977 articles to a subset of 519 articles, from which an operator found 6 Patient Innovations. The importance of this result is further discussed for innovation management and health care.Zejnilović, LeidMarinho, ZitaRUNSilva, Ricardo Miguel de Sousa Coelho da2020-04-15T12:05:51Z2019-09-042019-09-04T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/96184TID:202470598enginfo: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:RCAAP2024-03-11T04:43:55Zoai:run.unl.pt:10362/96184Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:30.199789Repositório 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 Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
title Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
spellingShingle Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
Silva, Ricardo Miguel de Sousa Coelho da
Lead User
Patient Innovation
Text Classification
Natural Language Processing
title_short Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
title_full Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
title_fullStr Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
title_full_unstemmed Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
title_sort Can machine learning contribute to a paradigm shift in health? A news article listener for continuous identification of patient innovations
author Silva, Ricardo Miguel de Sousa Coelho da
author_facet Silva, Ricardo Miguel de Sousa Coelho da
author_role author
dc.contributor.none.fl_str_mv Zejnilović, Leid
Marinho, Zita
RUN
dc.contributor.author.fl_str_mv Silva, Ricardo Miguel de Sousa Coelho da
dc.subject.por.fl_str_mv Lead User
Patient Innovation
Text Classification
Natural Language Processing
topic Lead User
Patient Innovation
Text Classification
Natural Language Processing
description Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2019
dc.date.none.fl_str_mv 2019-09-04
2019-09-04T00:00:00Z
2020-04-15T12:05:51Z
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/10362/96184
TID:202470598
url http://hdl.handle.net/10362/96184
identifier_str_mv TID:202470598
dc.language.iso.fl_str_mv eng
language eng
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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)
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