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  • Open Access

    ARTICLE

    Mortality Rates of Ventricular Septal Defect for Children in Kazakhstan: Spatio-Temporal Epidemiological Appraisal

    Akkerbez Adilbekova1,3,*, Shukhrat Marassulov1, Bakhytzhan Nurkeev1, Saken Kozhakhmetov2, Aikorkem Badambekova3

    Congenital Heart Disease, Vol.18, No.4, pp. 447-459, 2023, DOI:10.32604/chd.2023.028742

    Abstract Objective: The aim is to study the trends in ventricular septal defect (VSD) mortality in children in Kazakhstan. Methods: The retrospective study was done for the period 2011–2020. Descriptive and analytical methods of epidemiology were applied. The universally acknowledged methodology used in sanitary statistics is used to calculate the extensive, crude, and age-specific mortality rates. Results: Kazakhstan is thought to be seeing an increase in mortality from VSDs in children. As a result, this study for the years 2011 to 2020 was conducted to retrospectively assess data from the central registration of the Bureau of National Statistics that was available… More > Graphic Abstract

    Mortality Rates of Ventricular Septal Defect for Children in Kazakhstan: Spatio-Temporal Epidemiological Appraisal

  • Open Access

    ARTICLE

    Multi-Class Sentiment Analysis of Social Media Data with Machine Learning Algorithms

    Galimkair Mutanov, Vladislav Karyukin*, Zhanl Mamykova

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 913-930, 2021, DOI:10.32604/cmc.2021.017827

    Abstract The volume of social media data on the Internet is constantly growing. This has created a substantial research field for data analysts. The diversity of articles, posts, and comments on news websites and social networks astonishes imagination. Nevertheless, most researchers focus on posts on Twitter that have a specific format and length restriction. The majority of them are written in the English language. As relatively few works have paid attention to sentiment analysis in the Russian and Kazakh languages, this article thoroughly analyzes news posts in the Kazakhstan media space. The amassed datasets include texts labeled according to three sentiment… More >

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