Mental health in tech workplace: An analysis

Madhurima Paul * and Swapan Das

Department of Computing & Analytics, Faculty of Data Science, NSHM Knowledge Campus, Kolkata, India.
 
Review
International Journal of Science and Research Archive, 2023, 10(01), 221–233.
Article DOI: 10.30574/ijsra.2023.10.1.0743
Publication history: 
Received on 01 August 2023; revised on 09 September 2023; accepted on 12 September 2023
 
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.
 
Keywords: 
Mental health; Stress; OSMI; Employee; Machine learning
 
Full text article in PDF: 
 
Copyright information: 

Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0