Accurate forecasting of mortality causes is vital for healthcare planning, epidemiological research, and public health interventions. In this study, we employ a combination of regression models and moving averages to predict mortality causes. By analyzing historical data and leveraging statistical models, we aim to provide reliable insights into the likely causes of mortality over time. Our approach contributes to informed decision-making in healthcare, enabling proactive measures to address health challenges effectively.

Mortality Causes, Forecasting, Regression Models

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