Title: Exploring disease interactions using Markov networks
Authors: Van Haaren, Jan ×
Davis, Jesse
Lappenschaar, Martijn
Hommersom, Arjen #
Issue Date: Jul-2013
Host Document: Proceedings of the AAAI-13 Workshop on Expanding the Boundaries of Health Informatics Using AI pages:1-6
Conference: AAAI-13 Workshop on Expanding the Boundaries of Health Informatics Using AI edition:1 location:Bellevue, Washington, USA date:15 July 2013
Abstract: 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.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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