Detection and Prevention of Professional Burnout Using Machine Learning Methods

Abstract

Emotional burnout syndrome is an emotional condition that can be recognized mostly among social service employees. Indications of burnout are chronic fatigue, emotional drain and cynicism towards colleagues, patients and job at all. There are Maslach Burnout Inventory a questionnaire which provides to detect burnout condition and intensity of that condition. The propose to apply machine learning approaches is to predict early prerequisites of job burnout in employees. Initial data set was processed and labeled for machine learning models. Burnout is correctly predicted in 70% of cases.