International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Study of Mental Disorder Detection Based on Machine Learning Techniques

Pramod Shirbhau, Prof. A. A. Bhuyar

Abstract :

The explosive growth in popularity of social networking leads to problematic usage. An increasing number of social network mental disorders (SNMDs), such as Cyber-Relationship Addiction, Information Overload, and Net Compulsion, have been recently noted. Symptoms of these mental disorders are usually observed passively today, resulting in delayed clinical intervention. In this paper, we argue that mining online social behavior provides an opportunity to actively identify SNMDs at an early stage. It is challenging to detect SNMDs because the mental status cannot be directly observed from online social activity logs. This paper presented the latest studies that indicate a relationship between mental health and the actions of the social network and how mental illness and social networks respond to each other is still unclear. This paper attempts to use the data analysis of social network research to find a pattern for mental disorders without consulting the patient based on machine learning algorithms.

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