Individualized Knowledge Graph: A Viable Informatics Path to Precision Medicine

Circ Res. 2017 Mar 31;120(7):1078-1080. doi: 10.1161/CIRCRESAHA.116.310024.


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.

Keywords: artificial intelligence; data mining; informatics; machine learning; precision medicine.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artificial Intelligence*
  • Cardiology / methods
  • Cardiology / trends
  • Computational Biology / methods*
  • Heart Failure / diagnosis
  • Heart Failure / therapy*
  • Humans
  • Precision Medicine / methods*
  • Precision Medicine / trends