Paper Info
Title
Ontological representation-oriented term normalization and standardization of the Research Domain Criteria.
Abstract
The Research Domain Criteria, launched by the National Institute of Mental Health, is a new dimensional and interdisciplinary research framework for mental disorders. The Research Domain Criteria matrix is its core part. Since an ontology has the strengths of supporting semantic inferencing and automatic data processing, we would like to transform the Research Domain Criteria matrix into an ontological structure. In terms of data normalization, which is the essential part of an ontology representation, the Research Domain Criteria elements (mainly in the Units of Analysis) have some limitations. In this article, we propose a series of solutions to improve data normalization of the Research Domain Criteria elements in the Units of Analysis, including leveraging standard terminologies (i.e. the Unified Medical Language System Metathesaurus), context-combining queries, and domain expertise. The evaluation results show the positive (Yes) percentage is more than 80 percent, indicating our work is favorably received by the mental health professionals, and we have formed a good data foundation for the Research Domain Criteria ontological representation in the future work.
Year
DOI
Venue
2020
10.1177/1460458219832059
HEALTH INFORMATICS JOURNAL
Keywords
DocType
Volume
context query,data normalization,ontological representation,Research Domain Criteria,Unified Medical Language System Metathesaurus
Journal
26.0
Issue
ISSN
Citations 
SP2.0
1460-4582
0
PageRank 
References 
Authors
0.34
2
9
Name
Order
Citations
PageRank
Fang Li12113.89
Guozheng Rao2309.79
Jingcheng Du33016.40
Yang Xiang4114.25
Yaoyun Zhang59416.58
Salih Selek621.83
Jane Elizabeth Hamilton700.34
Hua Xu865069.76
Cui Tao93512.77