Comparing sex-specific association networks of chronic medical conditions Conference Paper uri icon


MeSH Major

  • Antimanic Agents
  • Bipolar Disorder
  • Lithium Carbonate
  • Valproic Acid


  • © 2018 IEEE. Sex (i.e., male or female) has a significant influence on physiologic and pathologic processes, and therefore, studying sex-specific distributions of medical conditions is a rationally important step in the analysis of clinical data. In this study, using data from the Korean National Health Insurance Services, we systemically compare sex-specific association networks of chronic medical conditions, and present a network-theoretic analysis with a rewire metric to explore all possible pairs of chronic medical conditions that differentially cooccur in male and female population. Given that sex appears to interact with the co-occurrence of these chronic conditions, future research may wish to examine these conditions separately in males and females.

publication date

  • July 24, 2018



  • Conference Paper


Digital Object Identifier (DOI)

  • 10.1109/ICHI.2018.00059

Additional Document Info

start page

  • 368

end page

  • 370