Detection and Diagnosis of Psychological Disorders through Decision Rule Set Formation

Abstract

Mental illness has long term influences on people’s relationships, health, education and profession. According to WHO, psychological disorders are continuously growing its burden for the past few years throwing serious impact on people’s health, economic and social condition all over the globe. A similar statistics states that in 2011 about 30 million people worldwide were affected by Major Depressive Disorder, 60 Million by Bipolar Affective and 23 Million by Schizophrenia and other Psychosis. Although medical sciences have come with every effective intervention for the diagnosis and treatment of psychological disorders but still people don’t seek out the treatment they need. The major reason for this failure is because of the overlapping symptoms of Psychological disorders. It sometimes takes years by the Psychiatrists to accurately diagnose the psychological disorder. The objective of this research paper is to detect and diagnose more accurately the presence of three of the major and most common psychological disorders i.e. Major Depressive Disorder, Bi-Polar Affective Disorder and Schizophrenia through Decision Rule Set Formation (RST)