To what extent healthcare analytics influences decision making in precision medicine
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/90398 |
Resumo: | Although Healthcare Analytics (HA) plays a critical role to uncover the link between data and discover novel and actionable information, the level that each analytics influences clinical decision-making is different. This paper aims to highlight the role of each HA in respect to Precision Medicine (PM). Where, PM is defined as a new approach in medical decision-making that takes into account individual differences in genetic, environmental, and lifestyle indicators. Besides, Simon's model in decision-making assesses the performance of clinical decision-making followed by HA. In addition, SOAP framework is discussed as an example under the influence of HA for adopting PM. |
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To what extent healthcare analytics influences decision making in precision medicineBig data analyticsClinical decision makingHealthcare analyticsknowledge disciveryOptimizationPrecision medicineSOAPEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e InformáticaAlthough Healthcare Analytics (HA) plays a critical role to uncover the link between data and discover novel and actionable information, the level that each analytics influences clinical decision-making is different. This paper aims to highlight the role of each HA in respect to Precision Medicine (PM). Where, PM is defined as a new approach in medical decision-making that takes into account individual differences in genetic, environmental, and lifestyle indicators. Besides, Simon's model in decision-making assesses the performance of clinical decision-making followed by HA. In addition, SOAP framework is discussed as an example under the influence of HA for adopting PM.FCT - Fundação para a Ciência e a Tecnologia (DSAIPA/DS/0084/2018)ElsevierUniversidade do MinhoMosavi, NasimsadatSantos, Manuel20222022-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/90398engMosavi, N. S., & Santos, M. F. (2022). To what extent healthcare analytics influences decision making in precision medicine. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2021.12.2531877-050910.1016/j.procs.2021.12.253https://www.sciencedirect.com/science/article/pii/S1877050921024923info: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:RCAAP2024-11-02T01:20:41Zoai:repositorium.sdum.uminho.pt:1822/90398Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-02T01:20:41Repositório 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 |
To what extent healthcare analytics influences decision making in precision medicine |
title |
To what extent healthcare analytics influences decision making in precision medicine |
spellingShingle |
To what extent healthcare analytics influences decision making in precision medicine Mosavi, Nasimsadat Big data analytics Clinical decision making Healthcare analytics knowledge discivery Optimization Precision medicine SOAP Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
title_short |
To what extent healthcare analytics influences decision making in precision medicine |
title_full |
To what extent healthcare analytics influences decision making in precision medicine |
title_fullStr |
To what extent healthcare analytics influences decision making in precision medicine |
title_full_unstemmed |
To what extent healthcare analytics influences decision making in precision medicine |
title_sort |
To what extent healthcare analytics influences decision making in precision medicine |
author |
Mosavi, Nasimsadat |
author_facet |
Mosavi, Nasimsadat Santos, Manuel |
author_role |
author |
author2 |
Santos, Manuel |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Mosavi, Nasimsadat Santos, Manuel |
dc.subject.por.fl_str_mv |
Big data analytics Clinical decision making Healthcare analytics knowledge discivery Optimization Precision medicine SOAP Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
topic |
Big data analytics Clinical decision making Healthcare analytics knowledge discivery Optimization Precision medicine SOAP Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
description |
Although Healthcare Analytics (HA) plays a critical role to uncover the link between data and discover novel and actionable information, the level that each analytics influences clinical decision-making is different. This paper aims to highlight the role of each HA in respect to Precision Medicine (PM). Where, PM is defined as a new approach in medical decision-making that takes into account individual differences in genetic, environmental, and lifestyle indicators. Besides, Simon's model in decision-making assesses the performance of clinical decision-making followed by HA. In addition, SOAP framework is discussed as an example under the influence of HA for adopting PM. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
conference paper |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/90398 |
url |
https://hdl.handle.net/1822/90398 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Mosavi, N. S., & Santos, M. F. (2022). To what extent healthcare analytics influences decision making in precision medicine. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2021.12.253 1877-0509 10.1016/j.procs.2021.12.253 https://www.sciencedirect.com/science/article/pii/S1877050921024923 |
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.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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mluisa.alvim@gmail.com |
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1817544818846334976 |