The Prediction of death causes using regression models and moving averages

  • Irfan Abbas The University of Lahore, Gujrat, Pakistan
  • Umair Muneer The University of Lahore, Gujrat, Pakistan
Keywords: Non-Communicable Diseases (NCDs, Moving Average (MA), Linear regression (LR, Quadratic regression (QR), Simple Moving Average (SMV, Exponential Moving Average (EMA).

Abstract

Savings lives of fellow citizens is the first priority of all governments in the world. Regression analysis is used to engine knowledge generation to predict the future threats and a massive support for policy makers and health organization for providing health care facilities. In this paper, our purpose is to address the causality which is causing death in France from 2001-2008[1]. The rapidly increasing data requiring the earlier change before the major human loss. Implementation is suggested through data filtering by regression analysis and moving averages for each cause. Also done the prediction model comparison by implemented linear and quadratic regression models. The storage and retrieval of huge data will enable to get meaningful conclusion out of that data to prevent death ratio in future.

Published
2019-11-23
How to Cite
Abbas, I., & Muneer, U. (2019). The Prediction of death causes using regression models and moving averages. International Journal of Data Science and Advanced Analytics, 1(1), 39-46. Retrieved from http://ijdsaa.com/index.php/welcome/article/view/69
Section
Articles