Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/90399

TítuloInternet of things for precision intensive medicine
Autor(es)Mosavi, Nasimsadat
Santos, Manuel
Palavras-chaveClinical decision making
data-driven model
Intensive medicine
Internet of things
Precision medicine
Real-time
Data2022
EditoraElsevier 1
RevistaProcedia Computer Science
CitaçãoMosavi, N. S., & Santos, M. F. (2022). Internet of things for precision intensive medicine. Procedia Computer Science. Elsevier BV. http://doi.org/10.1016/j.procs.2022.03.099
Resumo(s)Whereas the Precision Medicine approach plays a critical role in revolutionizing clinical decision-making, the accessibility of patient data in a customized way can empower this patient-centric clinical practice. Thus, successful utilization of the Internet of Things (IoT), is a technological booster for replacing the "one-size-fits-all" model to "patient-like-me" to tailor the treatment pathway according to the individual's variabilities in genetic profile, lifestyle, and environments indicators. This real-time and data-driven clinical decision-making model improves the quality of healthcare service, reduces side effects, cuts the cost of overt treatment, and saves more lives. This paper aims to highlight the significant role of IoT in emerging PM applications.
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/90399
DOI10.1016/j.procs.2022.03.099
ISSN1877-0509
Versão da editorahttps://www.sciencedirect.com/science/article/pii/S1877050922005129
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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