Predicting absence using employee data.

More insight into predictive factors is needed to identify employees at risk for future sickness absence. Companies register potentially relevant information regarding sickness absence in their human resources and work schedule administration. Example in airline company : long-term sickness absence was predicted by a combination of higher age, recent pregnancy, having a parking permit, having ‘aggravated working conditions’ and previous sickness absence