Individualized Knowledge Graph: A Viable Informatics Path to Precision Medicine.

Journal: Circulation research
Published Date: Mar 31, 2017

Abstract

We present here a vision of individualized Knowledge Graphs (iKGs) in cardiovascular medicine: a modern informatics platform of exchange and inquiry that comprehensively integrates biological knowledge with medical histories and health outcomes of individual patients. We envision that this could transform how clinicians and scientists together discover, communicate, and apply new knowledge.

Authors

  • Peipei Ping
    From the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.). pping38@g.ucla.edu.
  • Karol Watson
    From the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.).
  • Jiawei Han
    Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA Institute of Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
  • Alex Bui
    From the NIH BD2K Center of Excellence for Biomedical Computing at UCLA, Los Angeles, CA (P.P., K.W., A.B.); and NIH BD2K KnowEng Center of Excellence for Biomedical Computing at UIUC, Urbana, IL (J.H.).

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