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System-Subsystem Dependency Network for Integrating Multicomponent Data and Application to Health Sciences

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Social Computing, Behavioral-Cultural Modeling and Prediction (SBP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8393))

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Abstract

Two features are commonly observed in large and complex systems. First, a system is made up of multiple subsystems. Second there exists fragmented data. A methodological challenge is to reconcile the potential parametric inconsistency across individually calibrated subsystems. This study aims to explore a novel approach, called system-subsystem dependency network, which is capable of integrating subsystems that have been individually calibrated using separate data sets. In this paper we compare several techniques for solving the methodological challenge. Additionally, we use data from a large-scale epidemiologic study as well as a large clinical trial to illustrate the solution to inconsistency of overlapping subsystems and the integration of data sets.

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Author information

Authors and Affiliations

  1. Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, U.S.A.

    Edward H. Ip & Shyh-Huei Chen

  2. Department of Health and Exercise Sciences, Wake Forest University, Winston-Salem, U.S.A.

    Jack Rejeski

Authors
  1. Edward H. Ip
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  2. Shyh-Huei Chen
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  3. Jack Rejeski
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Editor information

Editors and Affiliations

  1. Center for Social Complexity and Department of Computational Social Science, George Mason University, 4400 University Drive, MS 6B2, 22030-4400, Fairfax, VA, USA

    William G. Kennedy

  2. University of Arkansas at Little Rock, 2801 South University Avenue, EIT Building, Room 553, 72204, Little Rock, AR, USA

    Nitin Agarwal

  3. Department of Computer Engineering, Rochester Institute of Technology, 83 Lomb Memorial Drive, Bldg 09, 14623-5603, Rochester, NY, USA

    Shanchieh Jay Yang

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© 2014 Springer International Publishing Switzerland

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Ip, E.H., Chen, SH., Rejeski, J. (2014). System-Subsystem Dependency Network for Integrating Multicomponent Data and Application to Health Sciences. In: Kennedy, W.G., Agarwal, N., Yang, S.J. (eds) Social Computing, Behavioral-Cultural Modeling and Prediction. SBP 2014. Lecture Notes in Computer Science, vol 8393. Springer, Cham. https://doi.org/10.1007/978-3-319-05579-4_8

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  • DOI: https://doi.org/10.1007/978-3-319-05579-4_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05578-7

  • Online ISBN: 978-3-319-05579-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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