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

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

Oregon Clinical and Translational Research Institute

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

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 language	English (US)
Pages (from-to)	56-59
Number of pages	4
Journal	CEUR Workshop Proceedings
Volume	1327
State	Published - 2014
Event	5th International Conference on Biomedical Ontology, ICBO 2014 - Houston, United States Duration: Oct 8 2014 → Oct 9 2014

Funding

Funders
Author National Institutes of Health National Institutes of Health National Institutes of Health National Institutes of Health The Bev Hartig Huntington's Disease Foundation National Institutes of Health

Keywords

Clinical note analysis
Data categorization
Mental disorder
Natural language processing
PTSD

ASJC Scopus subject areas

General Computer Science

Cite this

@article{876dcdb415d8484aae63c001ec5a9f9d,

title = "Post-traumatic stress disorder (PTSD) ontology and use case",

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.",

keywords = "Clinical note analysis, Data categorization, Mental disorder, Natural language processing, PTSD",

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

year = "2014",

language = "English (US)",

volume = "1327",

pages = "56--59",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

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TY - JOUR

T1 - Post-traumatic stress disorder (PTSD) ontology and use case

AU - Gamble, Bryan Travis

AU - Brush, Matthew

AU - Zirkle, Maryan

AU - Finch, Dezon

AU - Reeves, Ruth

AU - Hickham, David

AU - Luther, Stephen L.

AU - Rindflesch, Thomas

AU - Fodeh, Samah Jamal

AU - Bates, Jonathan

AU - Brandt, Cynthia

AU - Cheung, Kei Hoi

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Clinical note analysis

KW - Data categorization

KW - Mental disorder

KW - Natural language processing

KW - PTSD

UR - https://www.scopus.com/pages/publications/84926350586

UR - https://www.scopus.com/pages/publications/84926350586#tab=citedBy

M3 - Conference article

AN - SCOPUS:84926350586

SN - 1613-0073

VL - 1327

SP - 56

EP - 59

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 5th International Conference on Biomedical Ontology, ICBO 2014

Y2 - 8 October 2014 through 9 October 2014

ER -

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

Abstract

Funding

Keywords

ASJC Scopus subject areas

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