Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks

Leena Uronen, Sanna Salanterä, Kai Hakala, Jaakko Hartiala, Hans Moen

Abstract: Highlights•What was already known on the topic: Psychosocial risk factors influence in work ability.•In occupational health care the free text records of health checks are relatively large and difficult to analyse.•What this work adds: It is possible to automate the detecting of psychosocial risk factors from free text.•It is possible to build a system or tool that facilitates the work and decision-making of an occupational health care worker.