PREDICTION OF ANXIETY DISORDER OF THE CORONAVIRUS PANDEMIC USING ARTIFICIAL INTELLIGENCE TECHNOLOGY

Abstract

Emerging reports indicate heightened anxiety among university students during the Corona pandemic. Implications of which can impact their academic performance. Artificial intelligence (AI) through machine learning can be used to predict which students are more susceptible to anxiety which can inform closer monitoring and early intervention. To date, there are no studies that have explored the efficacy of AI to predict anxiety among college students. Data was collected using an online survey that included general information; Covid-19 stressors and (GAD-7). This scale categorizes level of anxiety to none, mild, moderate, and severe. We received several survey answers. Several machine learning classifiers were used to develop the best fit model to predict student level of anxiety. In order to overcome this problem and to ensure the Mental Well-being of university students by developing best fit model to predict anxiety and to rank the most important factors affecting anxiety. And suggesting after care such as Meditation, yoga and breathing exercises etc., According to the level they fall in from the scale 1 to 10 which are categorized into Mild, moderate and severe.