Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Journal: Clinical journal of the American Society of Nephrology : CJASN
PMID: 33033164

Abstract

BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.

Authors

  • Kumardeep Chaudhary
  • Akhil Vaid
    Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY 10029 USA.
  • Áine Duffy
    The Charles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Ishan Paranjpe
    Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Suraj Jaladanki
    The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, 770 Lexington Ave, 15th Fl, New York, NY, 10065, USA.
  • Manish Paranjpe
    Harvard Medical School, Boston, Massachusetts.
  • Kipp Johnson
    Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Avantee Gokhale
    Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Pattharawin Pattharanitima
    Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Kinsuk Chauhan
    Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Ross O'Hagan
    Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Tielman Van Vleck
    The Charles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomics Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Steven G Coca
    Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Richard Cooper
    Department of Computer Science, Loyola University, Chicago, Illinois, USA.
  • Benjamin Glicksberg
    Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Erwin P Bottinger
    Hasso Plattner Institute of Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York.
  • Lili Chan
    Division of Nephrology, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Girish N Nadkarni
    Division of Data-Driven and Digital Medicine (D3M), Icahn School of Medicine at Mount Sinai, New York, NY, USA.

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