Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Poonam Kapila

Datos Biográficos

ID7948556
NOMBREPoonam Kapila
NOMBRESPoonam
APELLIDOKapila
FIRMAKAPILA P
AFILIACIONESMilton Keynes Hospital
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
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…

Sin obras prominentes en esta 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 • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae