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Fahad Alsaawi

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Citations 9
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Recent Articles
1.
Alkattan A, Al-Zeer A, Alsaawi F, Alyahya A, Alnasser R, Alsarhan R, et al.
Expert Rev Endocrinol Metab . 2024 Sep; 19(6):513-522. PMID: 39245968
Background: According to previous reports, very high percentages of individuals in Saudi Arabia are undiagnosed for type 2 diabetes mellitus (T2DM). Despite conducting several screening and awareness campaigns, these efforts...
2.
Alhamed A, Al-Zeer A, Alsaawi F, Alshaikh A, Alzaher A, Alkattan A, et al.
Saudi Dent J . 2024 May; 36(4):533-538. PMID: 38690383
Recent national reports have indicated an increasing trend of dental decay among school-aged children. National school-based data are required to guide decision-making to ensure effective public health efforts to manage...
3.
Alhomaid A, Alzeer A, Alsaawi F, Aljandal A, Al-Jafar R, Albalawi M, et al.
Saudi Pharm J . 2024 Jan; 32(1):101886. PMID: 38162709
Objectives: This paper aims to measure the impact of the implemented nonpharmaceutical interventions (NPIs) in the Kingdom of Saudi Arabia (KSA) during the pandemic using simulation modeling. Methods: To measure...
4.
Alhamed A, Al-Zeer A, Alsaawi F, Alshaikh A, Alzaher A, Alkattan A, et al.
Saudi Pharm J . 2023 Nov; 31(12):101862. PMID: 38028221
Background: Recent reports indicated an increasing prevalence of obesity among children and adolescents in Saudi Arabia, making it an impending national epidemic. However, obesity prevalence data in children and adolescents...
5.
Alhajji M, Alzeer A, Al-Jafar R, Alshehri R, Alyahya S, Alsuhaibani S, et al.
Saudi Pharm J . 2023 Sep; 31(9):101748. PMID: 37662677
Background: During the COVID-19 pandemic, Saudi Arabia witnessed hesitancy from a proportion of the population toward taking the vaccine; thus, it was necessary to nudge them to uptake it. This...
6.
Alzeer A, Althemery A, Alsaawi F, Albalawi M, Alharbi A, Alzahrani S, et al.
Int J Med Inform . 2021 Sep; 154:104565. PMID: 34509027
Objectives: Patient readmission is a costly and preventable burden on healthcare systems. The main objective of this study was to develop a machine-learning classification model to identify cardiovascular patients with...