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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods
Published 2024-12-01“…This study aims to evaluate the impact of COVID-19 on acute ischemic stroke (AIS) using radiomic features extracted from brain MR images and machine learning methods. <b>Methods:</b> This retrospective study included MRI data from 57 patients diagnosed with AIS who presented to the Department of Radiology at Hacettepe University Hospital between March 2020 and September 2021. …”
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1382
Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production
Published 2025-03-01“…This study aimed to identify the most important features and predict Total Honey Harvest (THH) by combining machine learning (ML) methods with climatic conditions and environmental factors recorded from the winter before and during the harvest season. …”
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1383
Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations.
Published 2025-01-01“…We employ advanced machine learning methods, such as Extremely Randomized Trees, Categorical Boosting (CatBoost), and Random Forest, to achieve superior forecasting accuracy. …”
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The Effectiveness of Problem-Based Learning Methods in Improving Prospective Elementary School Teachers' Critical Thinking Skills
Published 2024-06-01“…This research was conducted to uncover the extent to which prospective elementary school teachers can utilize problem-based learning methods to improve their critical thinking skills. …”
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1387
Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects
Published 2025-03-01“…This article reviews the current research status of traditional methods and machine learning models in predicting first-ever stroke risk and outlines future development trends from three perspectives: First, emphasis should be placed on technological innovation by incorporating advanced algorithms such as deep learning and large models to further enhance the accuracy of predictive models. …”
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Machine learning methods for predicting human-adaptive influenza A virus reassortment based on intersegment constraint
Published 2025-03-01“…IntroductionIt is not clear about mechanisms underlining the inter-segment reassortment of Influenza A viruses (IAVs).We analyzed the viral nucleotide composition (NC) in coding sequences,examined the intersegment NC correlation, and predicted the IAV reassortment using machine learning (ML) approaches based on viral NC features.MethodsUnsupervised ML methods were used to examine the NC difference between human-adapted and zoonotic IAVs. …”
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1391
Comparative Study of Imputation Methods for Time Series Data
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1392
The Effectiveness of Learning Isim Maushul with Historical Stories l Fa‘aliyyah Ta‘allum al-‘Ism al-Maushul bi al-Qishash al-Tarikhiyyah
Published 2022-12-01“…This experimental research was motivated by the lack of attractiveness of Arabic learning compared to other foreign language learning caused by the use of monotonous learning methods. …”
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1393
Learning Media Innovation: Pocket Book Based on Mnemonics and PBL for Madrasah Students
Published 2025-07-01Subjects: “…Pocket book; Mnemonics Method; Problem Based Learning…”
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1394
Comparing traditional and machine learning techniques in apartments mass appraisal in Fortaleza, Brazil
Published 2025-02-01Subjects: “…semi-automatic assessment methods…”
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1395
Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges
Published 2025-01-01Subjects: Get full text
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1396
Learning the concept of genes, DNA, and chromosome through developed virtual laboratory website
Published 2025-03-01Get full text
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1397
DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates
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1398
Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning
Published 2024-01-01Subjects: Get full text
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1399
Exploring the Use of Song Media as a Phonetic Learning Innovation for College Students
Published 2025-02-01Subjects: “…song-based learning;…”
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Applying cheerful disco learning for improving of motivation and learning result of PKn in grade viii c students junior high school 1 Kebumen in second semester 2013/2014 academic...
Published 2017-05-01Subjects: “…cheerful disco method, learning motivation, learning result.…”
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