Impact of Data Mining Techniques for Detecting the Anxiety Disorders: A Literature Review

Data mining in medicine is a rapidly developing area that is essential for providing a improved knowledge of disease classification , particularly areas related to mental health. This paper’s primary objective is to provide an overview of the literature-based research projects that have been done on the application of data mining techniques (DMT) in Depression, particularly in depression and anxiety. There was a total of 29 papers retrieved that discussed data mining methods used to diagnose the major mental illness. There are 17 articles that have been identified as significant works on anxiety and depressive disorders. According to the review of the studies that were looked at, using DMT to treat depression can significantly help with diagnosis prediction.