Prediction of professional burnout syndrome among it professionals during the COVID-19 era using evolutionary artificial neural network

Key Points

• Burnout syndrome prediction was significantly enhanced using an evolutionary artificial neural network.
• The AI model achieved a prediction accuracy of over 80% during the COVID-19 crisis.
• Analysis was performed utilizing advanced neural network techniques on survey data collected from IT professionals.
• This highlights the importance of AI-driven methods to identify mental health risks in high-stress environments.