A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure.

Journal: Clinical journal of the American Society of Nephrology : CJASN
Published Date: Dec 7, 2016

Abstract

BACKGROUND AND OBJECTIVES: Identifying predictors of kidney disease progression is critical toward the development of strategies to prevent kidney failure. Clinical notes provide a unique opportunity for big data approaches to identify novel risk factors for disease.

Authors

  • Karandeep Singh
    Department of Internal Medicine and School of Information, University of Michigan, Ann Arbor, Michigan.
  • Rebecca A Betensky
    Biostatistics.
  • Adam Wright
    Harvard Medical School, Boston, MA; Brigham and Women's Hospital, Boston, MA.
  • Gary C Curhan
    Epidemiology, and.
  • David W Bates
    Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Sushrut S Waikar
    Division of Renal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; and.

Keywords

External Resources

Popular Topics
Recent Journals