COVID-19 Forecast using Machine Learning Techniques

Abstract

Coronavirus disease (COVID-19), is a serious disease affecting countries world over. The viral nature of this outbreak makes its bio-chemical predictability almost impossible and hence no immediate probability of a known cure. Thus, medical researchers are left with no choice but to control new infections through vaccines. Within academia deep machine learning techniques are assisting in developing predictable models based on time-series data. This study is yet another milestone in forecasting the confirmed COVID-19 infection rates and related deaths. The gated recurrent unit (GRU) - a specialty of the long short-term memory (LSTM) deep machine learning model was used on selected time-series data. The results indicated that GRU achieved great performance in each of the predictions