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ETHNOS_APP

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Amr Salah Omar

Dados Biográficos

ID7948550
NOMEAmr Salah Omar
PRENOMESAmr Salah
SOBRENOMEOmar
ASSINATURAOMAR A S
AFILIAÇÕESMilton Keynes Hospital
ORCID0000-0001-8560-2745
VERIFICADOSim
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2021
ANO MAIS RECENTE DE PUBLICAÇÃO2021
ÍNDICE H0
  • Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for Covid-19 Inpatients

    Open Access•Abhinav Vepa, Amer Saleem et al.•ARTICLE•International Journal of…•2021

    The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and c…

Sem obras proeminentes nesta página.

  • Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for Covid-19 Inpatients

    Open Access•Abhinav Vepa, Amer Saleem et al.•ARTICLE•International Journal of…•2021

    The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and c…

Artificial Intelligence (1 obras) · Bayesian network (1 obras) · Computer Science (1 obras) · Coronavirus disease 2019 (COVID-19 (1 obras) · COVID-19 Clinical Research Studies (1 obras) · COVID-19 diagnosis using AI (1 obras) · Data mining (1 obras) · Decision tree (1 obras) · Engineering (1 obras) · Infectious disease (medical specialty (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