Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90399
Título: | Internet of things for precision intensive medicine |
Autor(es): | Mosavi, Nasimsadat Santos, Manuel |
Palavras-chave: | Clinical decision making data-driven model Intensive medicine Internet of things Precision medicine Real-time |
Data: | 2022 |
Editora: | Elsevier 1 |
Revista: | Procedia Computer Science |
Citação: | Mosavi, 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90399 |
DOI: | 10.1016/j.procs.2022.03.099 |
ISSN: | 1877-0509 |
Versão da editora: | https://www.sciencedirect.com/science/article/pii/S1877050922005129 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
Internet of things for precision intensive medicine.pdf | 599,55 kB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons