COPE: childhood obesity prevention [knowledge] enterprise

Authors:
Arash Shaban-Nejad;David L. Buckeridge;Laurette Dubé
Affiliations:
McGill Clinical & Health Informatics, Department of Epidemiology and Biostatistics, Faculty of Medicine, McGill University, Montreal, Canada;McGill Clinical & Health Informatics, Department of Epidemiology and Biostatistics, Faculty of Medicine, McGill University, Montreal, Canada;Desautels Faculty of Management, McGill University, Montreal, Canada
Venue:
AIME'11 Proceedings of the 13th conference on Artificial intelligence in medicine
Year:
2011

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Abstract

This paper presents our work-in-progress on designing and implementing an integrated ontology for widespread knowledge dissemination in the domain of obesity with emphasis on childhood obesity. The COPE ontology aims to support a knowledge-based infrastructure to promote healthy eating habits and lifestyles, analyze children's behaviors and habits associated with obesity and to prevent or reduce the prevalence of childhood obesity and overweight. By formally integrating and harmonizing multiple knowledge sources across disciplinary boundaries, we will facilitate cross-sectional analysis of the domain of obesity and generate both generic and customized preventive recommendations, which take into consideration several factors, including existing conditions in individuals and communities.