Hybrid bag of approaches to characterize selection criteria for cohort identification.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Nov 1, 2019

Abstract

OBJECTIVE: The 2018 National NLP Clinical Challenge (2018 n2c2) focused on the task of cohort selection for clinical trials, where participating systems were tasked with analyzing longitudinal patient records to determine if the patients met or did not meet any of the 13 selection criteria. This article describes our participation in this shared task.

Authors

  • V G Vinod Vydiswaran
    Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Asher Strayhorn
    Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA.
  • Xinyan Zhao
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Phil Robinson
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Mahesh Agarwal
    Department of Mathematics and Statistics, College of Arts, Sciences, and Letters, University of Michigan-Dearborn, Dearborn, Michigan, USA.
  • Erin Bagazinski
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Madia Essiet
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Bradley E Iott
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Hyeon Joo
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • PingJui Ko
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Dahee Lee
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Jin Xiu Lu
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Jinghui Liu
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Adharsh Murali
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Koki Sasagawa
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Tianshi Wang
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.
  • Nalingna Yuan
    School of Information, University of Michigan, Ann Arbor, Michigan, USA.

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