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.
|Title of host publication||Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||3|
|Publication status||Published - 2018 Jul 24|
|Event||6th IEEE International Conference on Healthcare Informatics, ICHI 2018 - New York, United States|
Duration: 2018 Jun 4 → 2018 Jun 7
|Name||Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018|
|Conference||6th IEEE International Conference on Healthcare Informatics, ICHI 2018|
|Period||18/6/4 → 18/6/7|
Bibliographical noteFunding Information:
This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (no. 2017R1D1A1B03033721), as well as United States National Institutes of Health (NIH) R01MH105384, and UL1 TR000457-06.
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Health Informatics