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Mohammad AlShurbaji

Dados Biográficos

ID7944409
NOMEMohammad AlShurbaji
PRENOMESMohammad
SOBRENOMEAlShurbaji
ASSINATURAALSHURBAJI M
AFILIAÇÕESAmerican University of Sharjah
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2023
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • Comprehensive Study of a Diabetes Mellitus Mathematical Model Using Numerical Methods with Stability and Parametric Analysis

    Open Access•Mohammad AlShurbaji, Lamis Abdul Kader et al.•ARTICLE•International Journal of…•2023

    Diabetes is sweeping the world as a silent epidemic, posing a growing threat to public health. Modeling diabetes is an effective method to monitor the increasing prevalence of diabetes and develop cost-effective strategies that control the incidence of diabetes and its complications. This paper focuses on a mathematical model known as the diabetes complication (DC) model. The DC model is analyzed using different numerical methods to monitor the d…

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  • Comprehensive Study of a Diabetes Mellitus Mathematical Model Using Numerical Methods with Stability and Parametric Analysis

    Open Access•Mohammad AlShurbaji, Lamis Abdul Kader et al.•ARTICLE•International Journal of…•2023

    Diabetes is sweeping the world as a silent epidemic, posing a growing threat to public health. Modeling diabetes is an effective method to monitor the increasing prevalence of diabetes and develop cost-effective strategies that control the incidence of diabetes and its complications. This paper focuses on a mathematical model known as the diabetes complication (DC) model. The DC model is analyzed using different numerical methods to monitor the d…

Computer Science (1 obra) · Convergence (economics (1 obra) · Diabetes Management and Research (1 obra) · Diabetes mellitus (1 obra) · Diabetes, Cardiovascular Risks, and Lipoproteins (1 obra) · Economics (1 obra) · Environmental health (1 obra) · Liver Disease Diagnosis and Treatment (1 obra) · Machine learning (1 obra) · Macroeconomics (1 obra)

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