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ETHNOS_APP

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Jade Raffle

Dados Biográficos

ID9030362
NOMEJade Raffle
PRENOMESJade
SOBRENOMERaffle
ASSINATURARAFFLE J
AFILIAÇÕESUniversity College London
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2019
ANO MAIS RECENTE DE PUBLICAÇÃO2019
ÍNDICE H0
  • Big Data Analytics, Infectious Diseases and Associated Ethical Impacts

    Open Access•Chiara Garattini, Jade Raffle et al.•ARTICLE•Philosophy & Technology•2019

    The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big dat…

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  • Big Data Analytics, Infectious Diseases and Associated Ethical Impacts

    Open Access•Chiara Garattini, Jade Raffle et al.•ARTICLE•Philosophy & Technology•2019

    The exponential accumulation, processing and accrual of big data in healthcare are only possible through an equally rapidly evolving field of big data analytics. The latter offers the capacity to rationalize, understand and use big data to serve many different purposes, from improved services modelling to prediction of treatment outcomes, to greater patient and disease stratification. In the area of infectious diseases, the application of big dat…

Analytics (1 obras) · Big data (1 obras) · Computer Science (1 obras) · COVID-19 Digital Contact Tracing (1 obras) · COVID-19 epidemiological studies (1 obras) · Data science (1 obras) · Data-Driven Disease Surveillance (1 obras) · Medicine (1 obras) · Population (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae