Abstract
In recent years, there has been a significant research and analysis on the role of mental health in reaching global sustainable development goals. Employees are more likely to experience mental illnesses as a result of workplace stress. Mental illness can result in depression, personality disorders, phobias, anxiety disorders, mood disorders, psychotic disorders and a few more. In this study, we analyzed the Open Sourcing Mental Illness (OSMI) (osmihelp.org) Mental Health in Tech Survey dataset to determine the root causes of mental health disorders among the employees. Here, we looked at the severity of mental illness among working employees based on a variety of factors or attributes, including self-employment, mental health history in the employee's family, company offering benefits, whether the employee is receiving treatment for mental illness, and much more. We then attempted to build a fundamental machine learning model to predict whether an employee requires medical attention or not.
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