A Prediction Study about the Pandemic Era based on Machine Learning Methods

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Meltem Eryılmaz
Önder Ertan
Furkan Yalçınkaya
Ekin Kara

Abstract

Coronavirus pandemic has been going on since late 2019, millions of people died worldwide, vaccination has recently started in many countries and new strategies are sought by countries since they are still struggling to defeat the virus. So, this research is made to predict the possible ending time of the coronavirus pandemic  in Turkey using data mining and statistical studies. Data mining is a computer science study that processes large amounts of data and produces new useful information. It is especially used to support decision making in companies today. So, this project could support the decision making of authorities in developing an effective strategy against the on-going pandemic. During the research we have practiced on Turkey’s coronavirus and vaccination data between 13 January 2021 and  28 May 2021. We used Rapidminer and the Random Forest method for data mining. After all the simulations we have applied and observed during our research, it was clearly seen that vaccination parameters were decreasing the new cases. Also, the stringency index did not affect the new cases. As a conclusion of our research and observations, we think that the government should vaccinate as many people as it can in order to relax restrictions for the last time.

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How to Cite
Eryılmaz, M., Önder . Ertan, F. . Yalçınkaya, and E. . Kara. “A Prediction Study about the Pandemic Era Based on Machine Learning Methods”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 9, no. 12, Dec. 2021, pp. 01-07, doi:10.17762/ijritcc.v9i12.5492.
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