Predictive Machine Learning Model to Assess the Work Environment Influences on Mental Wellbeing of Tech Industry Employees

Abstract

"The research is focused on studying to identify a suitable machine learning model to determine the occupational health factors that affect the mental health of employees in the technological sector. The study utilized open-source datasets to analyze variables such as family history, work environment, health coverage and organizational support. This research is intended to understand the various patterns impacting mental health of employees by employing various machine learning algorithms, such as Support Vector Machines, Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbor etc. The results show the main causes of stress at work and factors that help, offering useful information for tech companies to improve mental health of their employees through specific interventions. The research also explores the consequences of implementing these discoveries within the setting of Sri Lanka's expanding."