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Showing 2,041 - 2,060 results of 17,643 for search '(predictive OR education) algorithms', query time: 0.29s Refine Results
  1. 2041

    Rapid Decision Algorithm for Patient Triage during Ebola Outbreaks by Denis-Luc Ardiet, Justus Nsio, Gaston Komanda, Rebecca M. Coulborn, Emmanuel Grellety, Francesco Grandesso, Richard Kitenge, Dolla L. Ngwanga, Bibiche Matady, Guyguy Manangama, Mathias Mossoko, John K. Ngwama, Placide Mbala, Francisco Luquero, Klaudia Porten, Steve Ahuka-Mundeke

    Published 2024-11-01
    “…Analyses of retrospective data from patients suspected of having Ebola virus infection identified 13 strong predictors and time from disease onset as constituents of a prediction score for Ebola virus disease. We also noted 4 highly predictive variables that could distinguish patients at high risk for infection, independent of their scores. …”
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    Article
  2. 2042

    LRST: searching tree anti-collision algorithm with low-redundancy by Qiong HUANG, Jiang-tao LING, Min ZHANG, Xiao-long YANG

    Published 2014-06-01
    “…To resolve this problem, a searching tree anti-collision algorithm with low-redundancy on the basis of regressive-style dynamic searching tree algorithm was proposed. …”
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    Article
  3. 2043

    Development and Validation of Predictive Models for Non-Adherence to Antihypertensive Medication by Cristian Daniel Marineci, Andrei Valeanu, Cornel Chiriță, Simona Negreș, Claudiu Stoicescu, Valentin Chioncel

    Published 2025-07-01
    “…Five machine learning models were developed to predict non-adherence, defined by ARMS quartile-based thresholds. …”
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    Article
  4. 2044
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  6. 2046

    Developing structural component of computational thinking using the algorithmic primitives method by Irina V. Bazhenova, Margarita M. Klunnikova, Nikolay I. Pak

    Published 2025-03-01
    “…The goal of the study is to substantiate the algorithmic primitives method to create a methodology for the development of a structural component of students’ computational thinking in the cluster of disciplines “Programming - Numerical Methods - Information Technologies in Education”. …”
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    Article
  7. 2047

    Smart diabetes management: remote monitoring and predictive health insights by K.S. Smelyakov, I.A. Lurin, K.V. Misiura, A.S. Chupryna, T.V. Tyzhnenko, O.D. Dolhanenko, V.M. Repikhov

    Published 2025-06-01
    “…The use of deep learning and neural network algorithms enhances the accuracy of these predictions by capturing complex data trends over time. …”
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    Article
  8. 2048
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  11. 2051

    MODELING OF ELECTRONIC OPEN EDUCATIONAL RESOURCES by Nina V. Komleva

    Published 2016-05-01
    “…The tools are analyzed in detail to create a virtual environment OER. The algorithm of the decision making process on the processing of contentbased neuro-fuzzy.…”
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    Article
  12. 2052

    Novel Multimodal Fusion Algorithm for Non-Intrusive Anxiety Detection by Mahir Shadid, Mushfiqus Salehin Afnan, Rashed Mustafa, M. Jamshed Alam Patwary

    Published 2025-03-01
    “…The study utilizes six advanced machine learning algorithms (Gaussian Naive Bayes, XGB Classifier, K-Neighbors, SVM, Decision-Tree, and RandomForest) for data classification, pattern recognition, and predictive accuracy. …”
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    Article
  13. 2053

    Turkish educational policy in Central Asia by A. S. Ergashev, O. E. Grishin

    Published 2023-03-01
    “…The author suggests algorithmic approaches to improve the image and increase Turkish education attractiveness through tourism and culture. …”
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    Article
  14. 2054
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  16. 2056

    Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function by Yuxin Han, Yang Liu, Yaping Sun, Kai Niu, Nan Ma, Shuguang Cui, Ping Zhang

    Published 2025-06-01
    “…Furthermore, by considering the semantic knowledge base (SKB) as a specific instance of synonymous mapping, the EBA algorithm provides a theoretical approach for analyzing and predicting the SKB size. …”
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    Article
  17. 2057
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  19. 2059

    Clinical Prediction Models Based on Traditional Methods and Machine Learning for Predicting First Stroke: Status and Prospects by ZHANG Zijiao, DING Shunjing, ZHAO Di, LIANG Jun, LEI Jianbo

    Published 2025-03-01
    “…In recent years, advancements in big data and artificial intelligence technologies have opened new avenues for stroke risk prediction. 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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    Article
  20. 2060