Abstract
This study investigates the network properties of urticaria comorbidity. Comorbidities are the presence of one or more additional disorders or diseases that co-occur with a primary disease or disorder. The purpose of this study is to identify diseases that co-occur with urticaria. Research data was collected from 1,154,534 urticaria outpatient department medical records out of 163,141,270 outpatient department medical records from 1997 to 2010 in Taiwan. Through the phenotypic disease network (PDN), this study has identified the diseases that are associated with urticaria. It has been discovered that the PDN has a complex structure where some diseases are highly connected while others are barely connected at all. While not conclusive, these findings can explain that the more connected the diseases are, the higher the mortality rate is, as patients developing highly connected diseases are more likely to be diagnosed at an advanced stage of the disease, which can be reached through multiple paths in the PDN.
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Acknowledgments
This study is based in part on data from the National Health Insurance Research Database provided by the Bureau of National Health Insurance, Department of Health and managed by National Health Research Institutes (NHRI). The interpretation and conclusions contained herein do not represent those of Bureau of National Health Insurance, Department of Health or National Health Research Institutes.
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Lai, YH., Ho, CC., Chiou, PY. (2017). A Network-Based Approach on Big Data for the Comorbidities of Urticaria. In: Kim, K., Joukov, N. (eds) Information Science and Applications 2017. ICISA 2017. Lecture Notes in Electrical Engineering, vol 424. Springer, Singapore. https://doi.org/10.1007/978-981-10-4154-9_58
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DOI: https://doi.org/10.1007/978-981-10-4154-9_58
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