Comparing sex-specific association networks of chronic medical conditions

Min Hyung Kim; Yongjun Zhu; Samprit Banerjee; Lauren Evans; Yiye Zhang; Fei Wang; Sang Min Park; Jyotishman Pathak

doi:10.1109/ICHI.2018.00059

Comparing sex-specific association networks of chronic medical conditions

Min Hyung Kim, Yongjun Zhu, Samprit Banerjee, Lauren Evans, Yiye Zhang, Fei Wang, Sang Min Park, Jyotishman Pathak

Department of Library and Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	368-370
Number of pages	3
ISBN (Electronic)	9781538653777
DOIs	https://doi.org/10.1109/ICHI.2018.00059
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

Publication series

Name	Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018

Conference

Conference	6th IEEE International Conference on Healthcare Informatics, ICHI 2018
Country/Territory	United States
City	New York
Period	18/6/4 → 18/6/7

Bibliographical note

Funding 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.

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Health Informatics

Access to Document

10.1109/ICHI.2018.00059

Cite this

Kim, M. H., Zhu, Y., Banerjee, S., Evans, L., Zhang, Y., Wang, F., Park, S. M., & Pathak, J. (2018). Comparing sex-specific association networks of chronic medical conditions. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018 (pp. 368-370). [8419392] (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2018.00059

Kim, Min Hyung ; Zhu, Yongjun ; Banerjee, Samprit et al. / Comparing sex-specific association networks of chronic medical conditions. Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 368-370 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018).

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abstract = "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.",

author = "Kim, {Min Hyung} and Yongjun Zhu and Samprit Banerjee and Lauren Evans and Yiye Zhang and Fei Wang and Park, {Sang Min} and Jyotishman Pathak",

note = "Funding 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. Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th IEEE International Conference on Healthcare Informatics, ICHI 2018 ; Conference date: 04-06-2018 Through 07-06-2018",

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Kim, MH, Zhu, Y, Banerjee, S, Evans, L, Zhang, Y, Wang, F, Park, SM & Pathak, J 2018, Comparing sex-specific association networks of chronic medical conditions. in Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018., 8419392, Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018, Institute of Electrical and Electronics Engineers Inc., pp. 368-370, 6th IEEE International Conference on Healthcare Informatics, ICHI 2018, New York, United States, 18/6/4. https://doi.org/10.1109/ICHI.2018.00059

Comparing sex-specific association networks of chronic medical conditions. / Kim, Min Hyung; Zhu, Yongjun; Banerjee, Samprit et al.

Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 368-370 8419392 (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Kim MH, Zhu Y, Banerjee S, Evans L, Zhang Y, Wang F et al. Comparing sex-specific association networks of chronic medical conditions. In Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 368-370. 8419392. (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018). doi: 10.1109/ICHI.2018.00059

Comparing sex-specific association networks of chronic medical conditions

Abstract

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Bibliographical note

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