Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/90404
Título: | Data engineering to support intelligence for precision medicine in intensive care |
Autor(es): | Mosavi, Nasimsadat Santos, Manuel |
Palavras-chave: | data engineering data processing intensive care optimal decision making precision medicine |
Data: | 2022 |
Editora: | IEEE |
Citação: | N. S. Mosavi and M. F. Santos, "Data Engineering to Support Intelligence for Precision Medicine in Intensive Care," 2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2022, pp. 1782-1786, doi: 10.1109/CSCI58124.2022.00316. |
Resumo(s): | this paper aimed to present the unique data engineering work for dealing with fragmented and infrequent data collection and to integrate data from Intensive Care (ICU) with other resources. The outcome of this data processing supports the development of an Intelligent Decision Support System for Precision Medicine (IDDS4PM) by providing the possibility to analyze all the clinical events in one platform from the date/time of admission. Thus, to obtain the precise treatment, whole clinical data will be considered regardless of the diversity of data sources and frequency of data creation. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/90404 |
ISBN: | 9798350320282 |
DOI: | 10.1109/CSCI58124.2022.00316 |
Versão da editora: | https://ieeexplore.ieee.org/document/10216745 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
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Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Data_Engineering_to_Support_Intelligence_for_Precision_Medicine_in_Intensive_Care.pdf Acesso restrito! | 378,09 kB | Adobe PDF | Ver/Abrir |