The significance of upright T wave in lead V1 in predicting myocardial ischemia A literature review حسب 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.…"

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 حسب Pavlopoulos, Kosmas

احصل على النص الكامل

Teacher's Perspectives and Professional Development Needs to Integrate AI Tools in K-12 Sector in the UAE حسب 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. …"
احصل على النص الكامل

Prediction of EV Charging Behavior Using Machine Learning حسب 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.…"
احصل على النص الكامل

DNA methylation at selected CpG sites in peripheral blood leukocytes is predictive Of gastric cancer حسب El Maarri, Osman

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Predictive factors for giftedness among Syrian refugee students: A focus on academic achievement, gender, and school context حسب 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. …"

Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب 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 حسب Al Ali, Fajer

احصل على النص الكامل

Machine learning-based prediction of one-year mortality in ischemic stroke patients حسب 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 حسب 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. …"

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

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

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

"…It is found that the results of linear regression prediction have been improved significantly after adding text mining to the experiments. …"
احصل على النص الكامل

Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches حسب 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.…"

Validation of the emergency surgery score’s predictive accuracy for postoperative outcomes and ICU admissions in MENA vs. non-MENA emergency surgery patients حسب 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. …"

Artificial Intelligence and Machine Learning Applications in Sudden Cardiac Arrest Prediction and Management: A Comprehensive Review حسب 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). …"

A screening instrument for sleep apnea predicts airway maneuvers in patients undergoing advanced endoscopic procedures حسب 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). …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

The predictive value of CTSI scoring system in non-operative management of patients with splenic blunt trauma: The experience of a level 1 trauma center حسب Ali Barah (14777533)

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب 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 حسب AL RAWASHDEH, HANEEN MOHAMMAD

"…The content of the posts has a significant impact on attracting users and total user’s engagement. …"
احصل على النص الكامل

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning حسب Far, Reza Davoodi

احصل على النص الكامل