Showing 1,401 - 1,420 results of 2,078 for search 'data education algorithm', query time: 0.16s Refine Results
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    MYOPIA PREVALENCE AMONG STUDENTS DURING COVID-19 PANDEMIC. A SYSTEMATIC REVIEW AND META-ANALYSIS by Natasha Hana Savitri, Adinda Sandya Poernomo, Muhammad Bagus Fidiandra1, Eka Candra Setyawan1, Arinda Putri Auna Vanadia1, Bulqis Inas Sakinah1, Lilik Djuari

    Published 2022-12-01
    “…The inclusion criterion was research on myopia prevalence among students during the pandemic of Covid-19. Data retrieval used the PICO method and journal adjustments were selected using the PRISMA algorithm. …”
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    A qualitative process evaluation within a clinical trial that used healthcare technologies for children with asthma-insights and implications. by Louisa Lawrie, Stephen Turner, Seonaidh C Cotton, Jessica Wood, Heather M Morgan

    Published 2023-01-01
    “…<h4>Conclusion</h4>The use of technology and individual data within appointments was considered useful to both staff and families: closer monitoring and the educational impacts were especially highlighted. …”
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    Principles of effective out-patient diagnostics of diffuse liver diseases by Komova A. G., M. V. Mayevskaya, V. T. Ivashkin

    Published 2014-11-01
    “…In the case of abnormal liver tests preliminary diagnosis was determined according to certain algorithm and these patients were recruited for further investigation and specifications of diagnosis in department of hepatology, University clinical hospital N 2, State educational government-financed institution of higher professional education «Sechenov First Moscow state medical university». …”
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    Exploring stroke risk factors in different genders using Bayesian networks: a cross-sectional study involving a population of 134,382 by Liqin Linghu, Yaxin Huang, Lixia Qiu, Xuchun Wang, Jia Zhang, Lin Ma, chenglian Li, Lijie Wang

    Published 2025-07-01
    “…Bayesian structure learning was achieved using the Max-Min Hill-Climbing algorithm, and parameter learning utilized maximum likelihood estimation. …”
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    Quality of life identification by unsupervised cluster analysis: A new approach to modelling the burden of endometriosis. by Alexandre Vallée, Maxence Arutkin, Pierre-François Ceccaldi, Jean-Marc Ayoubi

    Published 2025-01-01
    “…K-means, a major clustering algorithm, was performed to show structure in data and divide women into groups based on the burden of endometriosis. …”
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