AUTHOR=Al-Ahmadi Haneen Hassan 

TITLE=The Significance of Software Engineering to Forecast the Public Health Issues: A Case of Saudi Arabia

JOURNAL=Frontiers in Public Health

VOLUME=Volume 10 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.900075

DOI=10.3389/fpubh.2022.900075

ISSN=2296-2565

ABSTRACT=In recent years, public health has become a core issue addressed by researchers. However, because of our limited knowledge, studies mainly focus on the causes of public health issues. On the contrary, this study provides forecasts of public health issues using software engineering techniques and determinants of public health. Our empirical findings show significant impacts of carbon emission and health expenditure on public health. The results confirm that support vector machine (SVM) outperforms the forecasting of public health when compared to multiple linear regression (MLR) and artificial neural network technique (ANN). The findings are valuable to policy makers in forecasting public health issues and taking preemptive actions to address the relevant health concerns.