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    ARTICLE

    Ensemble Modeling for the Classification of Birth Data

    Fiaz Majeed1, Abdul Razzaq Ahmad Shakir1, Maqbool Ahmad2, Shahzada Khurram3, Muhammad Qaiser Saleem4, Muhammad Shafiq5,*, Jin-Ghoo Choi5, Habib Hamam6,7,8,9,10, Osama E. Sheta11

    Intelligent Automation & Soft Computing, Vol.39, No.4, pp. 765-781, 2024, DOI:10.32604/iasc.2023.034029

    Abstract Machine learning (ML) and data mining are used in various fields such as data analysis, prediction, image processing and especially in healthcare. Researchers in the past decade have focused on applying ML and data mining to generate conclusions from historical data in order to improve healthcare systems by making predictions about the results. Using ML algorithms, researchers have developed applications for decision support, analyzed clinical aspects, extracted informative information from historical data, predicted the outcomes and categorized diseases which help physicians make better decisions. It is observed that there is a huge difference between women… More >

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