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61
Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
Published 2019“…These countries plan to increase the contribution of power from renewable energy (RE) over the years. Due to its abundance, the focus of RE is on solar energy. …”
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Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches
Published 2025“…<h3>Aims</h3><p dir="ltr">To develop a prediction model for diabetes using metabolomics data and to evaluate various machine learning approaches and identify the most effective framework for disease prediction.…”
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Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
Published 2023“…These results suggest that the use of machine learning models can significantly improve the accuracy of predicting the viscosity of PAO-hBN nanofluids. …”
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An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health
Published 2024“…</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”
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Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
Published 2022“…<p>Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. …”
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Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions
Published 2023“…An empirical equation is developed based on a statistically significant quadratic model to produce optimized biochar yield with high prediction accuracy. …”
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Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis
Published 2021“…The CGM data have been rigorously investigated, and pertinent features were created along with a multi-stage multi-class (MSMC) classification model to predict futuristic HbA1c levels. To evaluate the developed framework, a total of 150 patients' data were sourced from Sidra Medicine, Doha, Qatar, for analysis. …”
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Assessing the Built Environment’s Reflectivity, Flexibility, Resourcefulness, and Rapidity Resilience Qualities against Climate Change Impacts from the Perspective of Different Sta...
Published 2023“…<p dir="ltr">The frequency and severity of climate change are projected to increase, leading to more disasters, increased built environment system (BES) vulnerability, and decreased coping capacity. …”
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Positional and dimensional temporomandibular joint osseous changes in patients treated with the forsus fatigue resistant device: a non-randomized clinical trial
Published 2025“…In the treatment group, condylar width decreased significantly by 0.52 ± 0.92 mm, in contrast to an increase of 0.17 ± 0.35 mm in the control group (<i>P</i> = 0.010). …”
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The distribution of Blastocystis subtypes in isolates from Qatar
Published 2015“…However, there was a regional difference in prevalence with subjects arriving from Africa showing the highest (87.6 %), those from Western Asia intermediate (68.6 %) and from Eastern Asia the lowest prevalence (67.6 %). …”
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Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context
Published 2023“…Middle school students were less likely to be identified compared to secondary students, while gender differences were not significant. Predictive modeling results should be interpreted with caution, as gifted identification was derived directly from the HOPE total score; models incorporating HOPE items closely mirrored the HOPE-based classification, whereas models using only demographic variables had limited discriminatory power. …”
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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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The Effect of Treated Waste-Water on Compaction and Compression of Fine Soil
Published 2016“…The significant effect was observed in swell index and swelling pressure of the soils. …”
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79
Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context
Published 0024“…By analysing the data generated from these learning platforms with ML techniques, we can uncover detailed insights into student performance. …”
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80
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
Published 2019“…Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …”