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Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic
Published 2025“…However, some patients declined transportation to hospital due to their fear of accessing healthcare facilities. This posed a significant risk to their health outcomes. This study aimed to utilise an extensive dataset, which included the period of the COVID-19 pandemic, in a modern Middle Eastern Emergency Medical Service to comprehend and predict the behaviour of non-transport decisions, a major multi-variable factor in pre-hospital emergency medicine. …”
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Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan
Published 2017“…The content of the posts has a significant impact on attracting users and total user’s engagement. …”
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting
Published 2025“…Neural networks help address this issue by extracting meaningful patterns from past observations to improve wave height predictions. This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. …”
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
Published 2025“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”
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Subjective Well-Being during Political Violence and Uncertainty
Published 2010“…The present research seeks to compare the subjective well-being (SWB) of Lebanese college youth between a sample assessed in 2003, during peace time, and a comparable one assessed in 2007 during politically violent and tumultuous times. …”
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Predicting Mobile Game Success Using Data Analytics
Published 2017“…After the first decade of the new millennium has passed, and even though billions of dollars in revenue have been realized from mobile game apps, there is still a gap in literature with regard to mobile game user behavior and methodologies for predicting the likely success of mobile game apps during the development phase. …”
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Remaining Shelf-Life Estimation of Fresh Fruits and Vegetables During Transportation
Published 2023“…During transportation, prediction of the Remaining Shelf-Life (RSL) of Fresh Fruits and Vegetables (FFVs) is critical for planning and quality cost estimation. …”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women
Published 2021“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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The predictors of perforated appendicitis in the pediatric emergency department: A retrospective observational cohort study
Published 2021“…Objective Appendiceal perforation has significant effects on perioperative morbidity and postoperative outcome. …”
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Semi-analytical Model to Predict Dynamic Capillary Pressure–Saturation Relationship for Flows in Heterogeneous Porous Media
Published 2024“…In this paper, we develop a first of a kind semi-analytical model to predict the capillary pressure–saturation curves during drainage displacement by integrating the dynamics of fluid flow based on fundamental laws of fluid mechanics. …”
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Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review
Published 2023“…Deep learning is gaining prominence in radiomics and population health for disease risk prediction. There’s a significant focus on the integration of AI and ML in prehospital emergency care, particularly in using ML algorithms for predicting outcomes in COVID-19 patients and enhancing the recognition of out-of-hospital cardiac arrest (OHCA). …”
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Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
Published 2019“…Significantly, insulin and demographic features do not provide additional performance improvement for diabetes prediction. …”
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Nurses and Physicians Interprofessional Collaboration during COVID-19 Pandemic in a Maternity Outpatient Department: A Mixed Method Approach
Published 2023“…</p> <h3>Conclusions</h3> <p>The attitude of both nurses and doctors toward IPC during a pandemic is predicted by knowledge gained through training and education, and duration of clinical experience. …”
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Nurses and Physicians Interprofessional Collaboration during COVID-19 Pandemic in a Maternity Outpatient Department: A Mixed Method Approach
Published 2023“…</p> <h3>Conclusions</h3> <p>The attitude of both nurses and doctors toward IPC during a pandemic is predicted by knowledge gained through training and education, and duration of clinical experience. …”
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Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC
Published 2025“…Our results revealed significant changes in land cover, as seen by an increase in artificial built-up areas by 15.5% in two decades and a corresponding decrease in bareland and dense vegetation. …”
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
Published 2024“…Transferring these dirty pages during pre-copy migration prolongs the overall migration time. …”
