Predicting the Risk of Burnout Syndrome Using Korean Occupational Stress Scale (KOSS): A Machine Learning Approach.

ABSTRACT:

Background

Changes in the workplace have increased occupational stress, leading to health issues such as burnout syndrome (BOS), which results from poorly managed chronic workplace stress. The Korean Burnout Syndrome Scale (KBOSS) has been used to diagnose these issues, but its stigma and decreased compliance with application have limited its widespread use. This study aimed to develop machine learning models to predict BOS risk from occupational stress factors and identify these influential factors.

Methods

Using a dataset of 1,205 individuals across 40 companies, we evaluated the predictive performance of five machine learning algorithms. Each model was optimized via resampling and 5-fold grid search cross-validation and evaluated using an ROC-AUC, balanced accuracy, overa

SUBMITTER: Jeong H 

PROVIDER: S-EPMC12750291 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature