@article{ART003121039},
author={Wooseok Ryu},
title={Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={9},
pages={197-205},
doi={10.9708/jksci.2024.29.09.197}
TY - JOUR
AU - Wooseok Ryu
TI - Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 9
PB - The Korean Society Of Computer And Information
SP - 197
EP - 205
SN - 1598-849X
AB - SNOMED CT is the most widely used comprehensive clinical terminology system worldwide.
However, due to the vastness of the terminology and the continuous growth of medical knowledge, the system involve quality issues such as structural inaccuracies and inconsistencies, including missing concepts or relationships and hierarchical errors. In this paper, we propose a method to enhance the consistency of the system by detecting potentially missing concepts by utilizing attributes linked to concepts. The proposed method analyzes the characteristics of the attribute relationships of concepts, extracts sibling concepts that share the same characteristics, and then evaluates whether the parent concepts reflect these characteristics to detect potentially missing concepts. By applying this method to the March 2023 SNOMED CT international release, we identified 564 instances where parent concepts did not reflect the common attributes of their sibling concepts, and a total of 384 potentially missing concepts were detected, including cases involving multiple parent concepts.
KW - SNOMED CT;Inconsistency;Missing Concept;Sibling Concepts;Attribute Relationship
DO - 10.9708/jksci.2024.29.09.197
ER -
Wooseok Ryu. (2024). Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts. Journal of The Korea Society of Computer and Information, 29(9), 197-205.
Wooseok Ryu. 2024, "Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts", Journal of The Korea Society of Computer and Information, vol.29, no.9 pp.197-205. Available from: doi:10.9708/jksci.2024.29.09.197
Wooseok Ryu "Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts" Journal of The Korea Society of Computer and Information 29.9 pp.197-205 (2024) : 197.
Wooseok Ryu. Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts. 2024; 29(9), 197-205. Available from: doi:10.9708/jksci.2024.29.09.197
Wooseok Ryu. "Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts" Journal of The Korea Society of Computer and Information 29, no.9 (2024) : 197-205.doi: 10.9708/jksci.2024.29.09.197
Wooseok Ryu. Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts. Journal of The Korea Society of Computer and Information, 29(9), 197-205. doi: 10.9708/jksci.2024.29.09.197
Wooseok Ryu. Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts. Journal of The Korea Society of Computer and Information. 2024; 29(9) 197-205. doi: 10.9708/jksci.2024.29.09.197
Wooseok Ryu. Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts. 2024; 29(9), 197-205. Available from: doi:10.9708/jksci.2024.29.09.197
Wooseok Ryu. "Identifying Missing Concepts in SNOMED CT by Utilizing Attribute Relationships of Sibling Concepts" Journal of The Korea Society of Computer and Information 29, no.9 (2024) : 197-205.doi: 10.9708/jksci.2024.29.09.197
