APPLICATION AND ASSESSMENT OF ARTIFICIAL NEURAL NETWORKS IN MODERN MEDICINE FOR PREDICTING AND CUSHIONING THE EFFECT OF COVID-19 PANDEMIC

Abstract

COVID-19 pandemic has become the greatest worldwide threat, as it has spread rapidly among  individuals in most countries around  the world. The study assess artificial neural networks in modern medicine for predicting and cushioning the effect if covid-19 pandemic. The study used artificial neural networks forecasting models to identify nonlinear relationships between the variables. A secondary data from Nigeria Centre For Disease Control (NCDC) related to COVID-19 infection  cases in Nigerian states for the period  between 28 February 2020 and 26 July 2022 was used for prediction. The study revealed that there was an increasing trend in the number of new COVID-19 infections by the end of June, until 16 July for some states while for the rest of them the ANN model predicted a constant to decreasing trend for the next 30 days. The allocation of medical resources, the management of the pandemic's spread, and the improvement of health care system preparedness would be greatly aided by the prediction to cushion the effect of the pandemic.

Keywords: Artificial Neural Networks, COVID-19, Pandemic, Medicine, Prediction, Treatment, Vaccine, Global health crisis, Data analysis, Machine learning.

DOI: 10.7176/JNSR/14-6-05

Publication date: April 30^th 2023