Data integration and knowledge discovery in biomedical databases. Reliable information from unreliable sources

DOI 1 Citations 24 References
  • Mitnitski A
    Dept of Medicine, Dalhousie University Dept of Computer Science, Dalhousie University
  • Mogilner A
    Dept of Medicine, Dalhousie University
  • MacKnight C
    Dept of Medicine, Dalhousie University
  • Rockwood K
    Dept of Medicine, Dalhousie University

Description

To better understand information about human health from databases we analyzed three datasets collected for different purposes in Canada: a biomedical database of older adults, a large population survey across all adult ages, and vital statistics. Redundancy in the variables was established, and this led us to derive a generalized (macroscopic state) variable, being a fitness/frailty index that reflects both individual and group health status. Evaluation of the relationship between fitness/frailty and the mortality rate revealed that the latter could be expressed in terms of variables generally available from any cross-sectional database. In practical terms, this means that the risk of mortality might readily be assessed from standard biomedical appraisals collected for other purposes.

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Details 詳細情報について

  • CRID
    1390282680211270784
  • NII Article ID
    130000403445
  • DOI
    10.2481/dsj.2.25
  • ISSN
    16831470
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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