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Journal of Cardiovascular Disease Research

2021, Vol: 8, Issue: 8
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    Chronic Kidney Disease Deaths in South Korea: Projecting Future Trends Appraise Time Series Analysis using Prediction Models


    Dr. G. Mokesh Rayalu
    JCDR. 2021: 2588-2599

    Abstract

    The ARIMA model is utilized for the purposes of forecasting in this study, which delves into the analysis of mortality caused by Chronic Kidney Disease (CKD) in South Korea. In order to investigate the underlying patterns in the CKD mortality data, a number of diagnostic tests, including as the Augmented Dickey-Fuller test, the autocorrelation function (ACF), the partial autocorrelation function (PACF), and the Box-Jenkins model, were carried out. After that, the ARIMA model was used to produce projections for the future based on the patterns seen in the past

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    Volume 12 Issue 4

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