Prediction of Daily New Death Cases Due to COVID19 using Artificial Neural Network and Genetic Algorithm

Document Type : Original Article

Authors

1 Department of Finance, Khatam University, Tehran, Iran

2 Department of Finance, Eslamshahr University, Tehran, Iran

10.22034/jaisis.2022.327647.1042

Abstract

One of the most important and notable issues and topics in the world is artificial intelligence (AI). So, it is clear that we need to pay attention to this subject more than before and we must spend more time about studying the applications of artificial intelligence and machine learning methods in different areas. The main goal of this article is the prediction of Covid-19 mortality rate using artificial neural network (ANN) and genetic algorithm (GA). GA and ANN have been used as feature selection and prediction model respectively. We have predicted new death cases in Netherlands using artificial neural network and genetic algorithm. Different technical indicators such as short moving average (SMA), moving average convergence divergence (MACD), relative strength index (RSI) and etc. have been used as input variables along with daily historical data. The result shows that machine learning (ML) can be a powerful tool in different subjects such as forecasting Covid-19 mortality rate. On the other hand, GA can be a powerful method as a feature selection method and facilitating calculations. The main contribution of this paper is that for the first time, some technical indicators have been used as input variables. we have tried to use a different statistical population means Netherlands.

Keywords

Main Subjects


  • Receive Date: 12 February 2022
  • Revise Date: 18 July 2022
  • Accept Date: 19 July 2022
  • First Publish Date: 19 July 2022