Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case

Authors

  • Mike Conway University of Utah
  • Danielle Mowery University of Utah
  • Amy Ising University of North Carolina Chapel Hill
  • Sumithra Velupillai KTH King's College London
  • Son Doan Kaiser Permanente Southern California
  • Julia Gunn Boston Public Health Commission
  • Michael Donovan Boston Public Health Commission
  • Caleb Wiedeman Tennessee Department of Health
  • Lance Ballester Georgia Department of Public Health
  • Karl Soetebier Georgia Department of Health
  • Catherine Tong International Society for Disease Surveillance
  • Burkom Howard

DOI:

https://doi.org/10.5210/ojphi.v10i2.8944

Abstract

This paper describes a continuing initiative of the International Society for Disease Surveillance designed to bring together public health practitioners and analytics solution developers from both academia and industry. Funded by the Defense Threat Reduction Agency, a series of consultancies have been conducted on a range of topics of pressing concern to public health (e.g. developing methods to enhance prediction of asthma exacerbation, developing tools for asyndromic surveillance from chief complaints). The topic of this final consultancy, conducted at the University of Utah in January 2017, is focused on defining a roadmap for the development of algorithms, tools, and datasets for improving the capabilities of text processing algorithms to identify negated terms (i.e. negation detection) in free-text chief complaints and triage reports.

Author Biography

Mike Conway, University of Utah

Assistant Professor

Department of Biomedical Informatics

University of Utah

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Published

2018-09-21

How to Cite

Conway, M., Mowery, D., Ising, A., Velupillai, S., Doan, S., Gunn, J., … Howard, B. (2018). Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case. Online Journal of Public Health Informatics, 10(2). https://doi.org/10.5210/ojphi.v10i2.8944

Issue

Section

Original Articles