Proceedings of the AAAI-13 Workshop on Expanding the Boundaries of Health Informatics Using AI pages:1-6
AAAI-13 Workshop on Expanding the Boundaries of Health Informatics Using AI edition:1 location:Bellevue, Washington, USA date:15 July 2013
Network medicine is an emerging paradigm for studying the co-occurrence between diseases. While diseases are often interlinked through complex patterns, most of the existing work in this area has focused on studying pairwise relationships between diseases. In this paper, we use a state-of-the-art Markov network learning method to learn interactions between musculoskeletal disorders and cardiovascular diseases and compare this to pairwise approaches. Our experimental results confirm that the sophisticated structure learner produces more accurate models, which can help reveal interesting patterns in the co-occurrence of diseases.