Early Detection of Heart Failure Using Electronic Health Records: Practical Implications for Time Before Diagnosis, Data Diversity, Data Quantity, and Data Density.

Journal: Circulation. Cardiovascular quality and outcomes
Published Date: Nov 8, 2016

Abstract

BACKGROUND: Using electronic health records data to predict events and onset of diseases is increasingly common. Relatively little is known, although, about the tradeoffs between data requirements and model utility.

Authors

  • Kenney Ng
    Center for Computational Health, IBM Research, Yorktown Heights, NY, USA.
  • Steven R Steinhubl
    Scripps Translational Science Institute, La Jolla, CA 92037, USA.
  • Christopher deFilippi
    From the Center for Computational Health, IBM Research, T.J. Watson Research Center, Cambridge, MA (K.N.); Cardiovascular Wellness, Geisinger Health System, Danville, PA (S.R.S.); Digital Medicine, Scripps Health, San Diego, CA (S.R.S.); Cardiology, Inova Heart and Vascular Institute, Fairfax, VA (C.d.); Center for Computational Health, IBM Research, T.J. Watson Research Center, Yorktown Heights, NY (S.D.); and Research, Sutter Health Research, Walnut Creek, CA (W.F.S.).
  • Sanjoy Dey
    Center for Computational Health, IBM Research, Yorktown Heights, NY, USA.
  • Walter F Stewart
    Research Development & Dissemination Sutter Health Walnut Creek, CA, USA.

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