A Working Semantic Model for the Integration of Occupation, Function and Health

Anil Adisesh, Hongchang Bao, Mohammad Sadnan Al Manir, Christopher J. O. Baker
2019 Workshop on Semantic Web Applications and Tools for Life Sciences  
Occupation is an explanatory variable in health research that is used to identify the degree to which exposures to environmental hazards and working conditions are correlated with disease. Moreover disease and functional impairment can limit employment options open to patients. Despite the importance of these issues many essential data sets have yet to be integrated. In the current study we defined an integrated semantic model and populated coded patient data representing disease (ICD),
more » ... al impairment (ICF), occupation (NOC), and job attributes (NOC Career Handbook). Automated NOC coding of patient responses to "What is your job" were coded by a custom algorithm developed in previous work. To validate the utility of the model, SPARQL queries and outputs were prepared and discussed in the context of authentic physician and case worker activities.
dblp:conf/swat4ls/AdiseshBMB19 fatcat:dro3fy7fffautijpxdgaqloh6m