A Review for Prediction of Anxiety Disorders in Humans Using Machine Learning

Anxiety is a normal human emotion. Our brain reacts to external stimuli such as stress and alerts us of any potential danger that lies ahead. With the recent evolution and development in Machine learning Techniques, doctors and medical professionals can implement these techniques to determine and predict predicting various health disorders. Mental disorders are one of them. This paper is a comparative study of thirteen studies. We will examine and study the different machine learning methods and techniques used by the other authors for predicting the accuracy of various mental health disorders with efficiency. Machine Learning is constantly evolving. Hence more efficient methods for determining and predicting mental illnesses will be available in the future.