Post-traumatic stress disorder (PTSD) ontology and use case

Bryan Travis Gamble, Matthew Brush, Maryan Zirkle, Dezon Finch, Ruth Reeves, David Hickham, Stephen L. Luther, Thomas Rindflesch, Samah Jamal Fodeh, Jonathan Bates, Cynthia Brandt, Kei Hoi Cheung

Research output: Contribution to journalConference articlepeer-review

Abstract

Ontologies play an increasingly important role in annotation, integration, and analysis of biomedical data. In this paper, we describe the design and development of a Post-Traumatic Stress Disorder (PTSD) Ontology and how we can use this ontology as a controlled vocabulary for supporting automatic annotation of clinical text. The automated annotation is performed using a natural language processing (NLP) tool called YTEX. In addition, we demonstrate how we can use the concepts and relationships defined in the PTSD Ontology to perform data summarization and categorization.

Original languageEnglish (US)
Pages (from-to)56-59
Number of pages4
JournalCEUR Workshop Proceedings
Volume1327
StatePublished - 2014
Event5th International Conference on Biomedical Ontology, ICBO 2014 - Houston, United States
Duration: Oct 8 2014Oct 9 2014

Keywords

  • Clinical note analysis
  • Data categorization
  • Mental disorder
  • Natural language processing
  • PTSD

ASJC Scopus subject areas

  • Computer Science(all)

Fingerprint

Dive into the research topics of 'Post-traumatic stress disorder (PTSD) ontology and use case'. Together they form a unique fingerprint.

Cite this