Machine learning for phenotyping opioid overdose events.

Journal: Journal of biomedical informatics
Published Date: Apr 25, 2019

Abstract

OBJECTIVE: To develop machine learning models for classifying the severity of opioid overdose events from clinical data.

Authors

  • Jonathan Badger
    Marshfield Clinic Research Institute, Marshfield, WI, USA; Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, USA. Electronic address: badger.jonathan@marshfieldresearch.org.
  • Eric LaRose
    Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, 1000 N Oak Ave - ML8, Marshfield, WI 54449, USA.
  • John Mayer
    Marshfield Clinic Research Institute, Marshfield, WI, USA.
  • Fereshteh Bashiri
    Marshfield Clinic Research Institute, Marshfield, WI, USA.
  • David Page
    Duke University, Department of Biostatistics and Bioinformatics, Durham, NC, USA.
  • Peggy Peissig
    Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI, 54449, USA.

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