Management of leak after sleeve gastrectomy: outcomes of 73 cases, treatment algorithm and predictors of resolution حسب Moataz Bashah (14148867)

DAP: A dataset-agnostic predictor of neural network performance حسب Sui Paul Ang (18460605)

"…This task often must be repeated many times, especially when developing a new deep learning algorithm or performing a neural architecture search. …"

MSLP: mRNA subcellular localization predictor based on machine learning techniques حسب Saleh Musleh (15279190)

Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms حسب Md Ferdous Wahid (13485799)

"…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …"

Education Data Mining to Predict Student Exam Grades in Vocational Institutes حسب Saleh, Ashjan Ahmad

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One-Hour-Ahead Wind Power Forecast Using Hybrid Grey Models حسب Osman, Ahmed

"…Unlike the classical predictors, the proposed hybrid algorithms are not affected by the inherent uncertainty in the wind power. …"
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Exploring the System Dynamics of Covid-19 in Emergency Medical Services حسب Ali, Muhammad

"…The predictive analysis yielded a model of response times for emergency missions through machine learning, specifically using a random forest algorithm. The value in building a predictive model of response time lies in identifying the most influential predictors of response times such as team utilization, case severity, COVID-19 patients, and roadway distance. …"
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Software defect prediction. (c2019) حسب Moussa, Rebecca

"…Results prove that one-class predictors can in fact be used to predict software defect.…"
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StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features حسب Muhammad Arif (769250)

"…Additionally, we applied the local interpretable model-agnostic explanations (LIME) algorithm to understand the contribution of selected features to the overall prediction. …"

Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review حسب Ruba, Sulaiman

"…Most of the included studies focused on mortality prediction, utilizing datasets of varying sizes and diverse ML algorithms. The most employed ML algorithms were random forest, logistics regression, and gradient boosting. …"
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Computed tomography-detected hemothorax after blunt chest trauma: Does everyone need an intervention? A retrospective analysis حسب Ismail Mahmood (14150352)

"…Quantitative assessment of hemothorax volume should be considered part of the clinical decision-making algorithm. Further research is needed to refine management strategies and improve outcomes for traumatic hemothorax.…"

Machine learning for predicting outcomes of transcatheter aortic valve implantation: A systematic review حسب Ruba Sulaiman (17734065)

"…Most of the included studies focused on mortality prediction, utilizing datasets of varying sizes and diverse ML algorithms. The most employed ML algorithms were random forest, logistics regression, and gradient boosting. …"

Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data حسب ODEH, HANEEN

"…The analysis examined an eLearning lesson with 153 records and 51 participants, it concluded that blooms-level and pre-assessments are reliable predictors of student performance. The classification algorithms were able to predict the pass/fail statues with up to 93.5% accuracy. …"
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Performance Prediction Using Classification حسب MOOLIYIL, GITA

"…A comprehensive evaluation requires that multiple models with different algorithms were analyzed using key performance measures. …"
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Using machine learning to support students’ academic decisions حسب ALLAH, AISHA QASIM GHAZAL FATEH

"…This research tests and compares the performance of Decision Trees, Random Forests, Gradient-Boosted trees, and Deep Learning machine learning regression algorithms to predict student GPA. Furthermore, the strongest predictors of student’s GPA are identified at each stage. …"
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Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam, Eljilany

"…Genetics polymorphism demonstrated to be a significant predictor of the required days of warfarin interruption. …"
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Cost-Benefit Analysis of Genotype-Guided Interruption Days in Warfarin Pre-Procedural Management حسب Islam Eljilany (14151588)

"…Genetics polymorphism demonstrated to be a significant predictor of the required days of warfarin interruption. …"

Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…<h3>Background</h3><p dir="ltr">Existing BRCA2-specific variant pathogenicity prediction algorithms focus on the prediction of the functional impact of a subtype of variants alone. …"

Artificial intelligence models for predicting the mode of delivery in maternal care حسب Rawan AlSaad (14159019)

"…Five machine learning algorithms were evaluated: XGBoost, AdaBoost, random forest, decision tree, and multi-layer perceptron (MLP) classifier. …"

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

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