Data mining approach for diagnose of anxiety disorder

Themental disorder is one of the top five reasons for the cause of death in world and suicide is the third leading cause of death among young adults worldwide. Due to the unawareness and social embarrassment, this disease is normally undiagnosed. Study says that one of every four Indians affected by anxiety disorder, out of which 10% depressed. The reasons affecting the mental health of the Indian patients need to be identified through which better cognitive behavioral therapy can be given by the psychiatrist. Data mining is a way through which Long term monitoring of the patient can be carried out by using stress monitoring test and actual reason affecting the mental health of the Indian patient can be studied via digging through and analyzing enormous sets of data and then extracting the meaning of the data such as their lifestyle, habits etc. It will also provide healthcare professionals an additional source of knowledge for making decisions. The aim of this research is to propose new approach using data mining techniques to predict the stress level of a patient using logistic model tress and to find out different factors affecting the mental health of a Indian patient in an efficiently and an economically faster manner.