Huda M Alshanbari
Datos Biográficos
| ID | 8337697 |
|---|---|
| NOMBRE | Huda M Alshanbari |
| NOMBRES | Huda M |
| APELLIDO | Alshanbari |
| FIRMA | ALSHANBARI H M |
| AFILIACIONES | Princess Nourah bint Abdulrahman University |
| ORCID | 0000-0001-5154-7477 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 0 |
Early-warning prediction of visceral leishmaniasis mortality using a multivariate STL–deep learning hybrid approach on 20 years of monthly time series
Introduction Visceral leishmaniasis (VL) is a preventable disease, but continues to cause mortality in Sudan, with transmission dynamics and potentially fatal outcomes strongly affected by local environmental conditions. Methods This research presents an innovative hybrid forecasting framework that amalgamates Seasonal-Trend decomposition using Loess (STL) with four sophisticated models: Gaussian Process Regression (GPR), Long Short-Term Memory (…
A hybrid STL–LightGBM framework with probabilistic forecasting for Influenza A incidence in the post-pandemic Saudi Arabia
Influenza A outbreaks in Saudi Arabia exhibit different seasonal patterns, influenced by significant changes, including a near-total halt during the COVID-19 pandemic (2020-2021) and a substantial rebound, as evidenced by national surveillance data, until the end of 2023. Traditional time-series models rely on stationarity and stable seasonal patterns; however, these assumptions are significantly undermined by regime shifts. This study introduces…
Factors influencing human papillomavirus vaccine uptake among parents and teachers of schoolgirls in Saudi Arabia
Introduction: Cervical cancer is a highly prevalent disease among women worldwide. However, the advent of a vaccine against HPV, the main cause of the disease, has prevented its spread. The acceptability of the HPV vaccine to different sectors of the Saudi community has yet to be clarified. Since parents and teachers are major influencers in the decision-making process of vaccination for HPV, this study aimed to assess the knowledge and attitudes…
Sin obras prominentes en esta página.
Factors influencing human papillomavirus vaccine uptake among parents and teachers of schoolgirls in Saudi Arabia
Introduction: Cervical cancer is a highly prevalent disease among women worldwide. However, the advent of a vaccine against HPV, the main cause of the disease, has prevented its spread. The acceptability of the HPV vaccine to different sectors of the Saudi community has yet to be clarified. Since parents and teachers are major influencers in the decision-making process of vaccination for HPV, this study aimed to assess the knowledge and attitudes…
Early-warning prediction of visceral leishmaniasis mortality using a multivariate STL–deep learning hybrid approach on 20 years of monthly time series
Introduction Visceral leishmaniasis (VL) is a preventable disease, but continues to cause mortality in Sudan, with transmission dynamics and potentially fatal outcomes strongly affected by local environmental conditions. Methods This research presents an innovative hybrid forecasting framework that amalgamates Seasonal-Trend decomposition using Loess (STL) with four sophisticated models: Gaussian Process Regression (GPR), Long Short-Term Memory (…
A hybrid STL–LightGBM framework with probabilistic forecasting for Influenza A incidence in the post-pandemic Saudi Arabia
Influenza A outbreaks in Saudi Arabia exhibit different seasonal patterns, influenced by significant changes, including a near-total halt during the COVID-19 pandemic (2020-2021) and a substantial rebound, as evidenced by national surveillance data, until the end of 2023. Traditional time-series models rely on stationarity and stable seasonal patterns; however, these assumptions are significantly undermined by regime shifts. This study introduces…
Cervical Cancer and HPV Research (1 obras) · COVID-19 epidemiological studies (1 obras) · Cross-sectional study (1 obras) · Data-Driven Disease Surveillance (1 obras) · Demography (1 obras) · Environmental health (1 obras) · Family medicine (1 obras) · Field-Flow Fractionation Techniques (1 obras) · Gradient boosting (1 obras) · Health Education and Validation (1 obras)