The significance of upright T wave in lead V1 in predicting myocardial ischemia A literature review by Fadi Kazahia Khir (17280745)

“…<p dir="ltr">Chest pain is still representing one of the most common and serious presentations to the emergency department worldwide. ECG is a crucial tool in evaluating patients with chest pain; however, only around 50% of patients with acute coronary syndrome (ACS) will have a diagnostic ECG upon their presentation; the rest may either have a completely normal ECG or what is called nonspecific ST segment and T wave (NSSTTW) changes, hence it is essential to recognize the subtle ECG changes and know its significance.…”

The Grid Iron Patterns & Detached Villas as the Main Drivers of Sharjah City’s Urban Sprawl by MOHAMED, SHAMSELDIN SAEED

“…On the other hand, the same study proved that the grid system and the villa model are the main reason behind the urban sprawl of the city. …”
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Prediction of Soil Loss in a Reservoir Watershed Using an Erosion Model and Modern Technological Tools: A Case Study of Marathon Lake, Attica in Greece by Pavlopoulos, Kosmas

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Teacher's Perspectives and Professional Development Needs to Integrate AI Tools in K-12 Sector in the UAE by Kumar, Layana Dileep

“…In addition to this, TK significantly predicted Ethics. Results also revealed educators are positive and motivated to adopt AI tools, although they acknowledge the ethical implications due to the use of AI tools and demand for policies and regulations. …”
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Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

“…In both predictions, we demonstrate a significant improvement compared to previous work on the same dataset and we highlight the importance of traffic and weather information for charging behavior predictions.…”
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Main outcome measure: mean reflectivity of retinal and choroid layers. …”
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Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants by Mohannad N. Khandakji (13885434)

“…</p><p><br></p><h3>Methods</h3><p dir="ltr">We developed an XGBoost-based machine learning model to predict pathogenicity of BRCA2 variants. The model utilizes general variant information such as position, frequency, and consequence for the canonical BRCA2 transcript, as well as deleteriousness prediction scores from several tools. …”

AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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Machine learning-based prediction of one-year mortality in ischemic stroke patients by Ahmad Abujaber (9100064)

“…</p><h3>Conclusion</h3><p dir="ltr">This study offers a promising tool for early prediction of stroke mortality and for advancing personalized stroke care. …”

Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression by Alaa Abd-Alrazaq (17430900)

“…Wearable AI is a promising tool for depression detection and prediction although it is in its infancy and not ready for use in clinical practice. …”

Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

“…The root mean squared errors RMSEs for all data subsets have decreased leading to enhancing the accuracy of prediction. …”
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DNA methylation at selected CpG sites in peripheral blood leukocytes is predictive Of gastric cancer by El Maarri, Osman

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Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches by Doaa Farid (22565300)

“…<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.…”

Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

“…The developed ANN-based model provides an efficient and robust tool for predicting and forecasting the performance of the ENR-BP.…”

A screening instrument for sleep apnea predicts airway maneuvers in patients undergoing advanced endoscopic procedures by Azar, Riad

“…Background & Aims Among patients undergoing advanced endoscopy, unrecognized obstructive sleep apnea (OSA) could predict sedation-related complications (SRCs) and the need for airway maneuvers (AMs). …”
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Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review by Sarah Aqel (17787809)

“…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). …”

Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context by Ali M. Alodat (22508036)

“…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. …”

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test by Hasan T. Abbas (8115014)

“…In this paper, we present an automatic tool that uses machine learning techniques to predict the development of type 2 diabetes mellitus (T2DM). …”

Use data Mining Techniques to Predict Users’ Engagement on the Social Network Posts in The Period Before, During and After Ramadan by AL RAWASHDEH, HANEEN MOHAMMAD

“…The content of the posts has a significant impact on attracting users and total user’s engagement. …”
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Validation of the emergency surgery score’s predictive accuracy for postoperative outcomes and ICU admissions in MENA vs. non-MENA emergency surgery patients by Mohamed Said Ghali (16810713)

“…</p><h3>Conclusion</h3><p dir="ltr">The ESS is a superior tool compared to ASA for predicting postoperative outcomes in emergency surgical patients, and it is applicable to diverse populations, including those from the MENA region. …”