Enhancing the quality of hierarchic relations in the national cancer institute thesaurus to enable faceted query of cancer registry data

Licong Cui; Rashmie Abeysinghe; Fengbo Zheng; Shiqiang Tao; Ningzhou Zeng; Isaac Hands; Eric B. Durbin; Lori Whiteman; Lyubov Remennik; Nicholas Sioutos; Guo Qiang Zhang

doi:10.1200/CCI.19.00124

Enhancing the quality of hierarchic relations in the national cancer institute thesaurus to enable faceted query of cancer registry data

Licong Cui, Rashmie Abeysinghe, Fengbo Zheng, Shiqiang Tao, Ningzhou Zeng, Isaac Hands, Eric B. Durbin, Lori Whiteman, Lyubov Remennik, Nicholas Sioutos, Guo Qiang Zhang

Internal Medicine

Producción científica: Article › revisión exhaustiva

5 Citas (Scopus)

Resumen

PURPOSE To audit and improve the completeness of the hierarchic (or is-a) relations of the National Cancer Institute (NCI) Thesaurus to support its role as a faceted system for querying cancer registry data. METHODS We performed quality auditing of the 19.01d version of the NCI Thesaurus. Our hybrid auditing method consisted of three main steps: computing nonlattice subgraphs, constructing lexical features for concepts in each subgraph, and performing subsumption reasoning with each subgraph to automatically suggest potentially missing is-a relations. RESULTS A total of 9,512 nonlattice subgraphs were obtained. Our method identified 925 potentially missing is-a relations in 441 nonlattice subgraphs; 72 of 176 reviewed samples were confirmed as valid missing is-a relations and have been incorporated in the newer versions of the NCI Thesaurus. CONCLUSION Autosuggested changes resulting from our auditing method can improve the structural organization of the NCI Thesaurus in supporting its new role for faceted query.

Idioma original	English
Páginas (desde-hasta)	392-398
Número de páginas	7
Publicación	JCO clinical cancer informatics
Volumen	4
DOI	https://doi.org/10.1200/CCI.19.00124
Estado	Published - 2020

Nota bibliográfica

Publisher Copyright:
© 2020 by American Society of Clinical Oncology Licensed under the Creative Commons Attribution 4.0 License

Financiación

Supported by the National Science Foundation through Grant No. IIS7-1931134 and the National Cancer Institute, National Institutes of Health, through Grant No. R21CA231904.

Financiadores	Número del financiador
National Science Foundation Arctic Social Science Program	IIS7-1931134
National Institutes of Health (NIH)
National Childhood Cancer Registry – National Cancer Institute	R21CA231904

ASJC Scopus subject areas

Oncology
Health Informatics
Cancer Research

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1200/CCI.19.00124

Otros archivos y enlaces

Citar esto

@article{3f769b6e33ea49298251c80611a0088c,

title = "Enhancing the quality of hierarchic relations in the national cancer institute thesaurus to enable faceted query of cancer registry data",

abstract = "PURPOSE To audit and improve the completeness of the hierarchic (or is-a) relations of the National Cancer Institute (NCI) Thesaurus to support its role as a faceted system for querying cancer registry data. METHODS We performed quality auditing of the 19.01d version of the NCI Thesaurus. Our hybrid auditing method consisted of three main steps: computing nonlattice subgraphs, constructing lexical features for concepts in each subgraph, and performing subsumption reasoning with each subgraph to automatically suggest potentially missing is-a relations. RESULTS A total of 9,512 nonlattice subgraphs were obtained. Our method identified 925 potentially missing is-a relations in 441 nonlattice subgraphs; 72 of 176 reviewed samples were confirmed as valid missing is-a relations and have been incorporated in the newer versions of the NCI Thesaurus. CONCLUSION Autosuggested changes resulting from our auditing method can improve the structural organization of the NCI Thesaurus in supporting its new role for faceted query.",

author = "Licong Cui and Rashmie Abeysinghe and Fengbo Zheng and Shiqiang Tao and Ningzhou Zeng and Isaac Hands and Durbin, \{Eric B.\} and Lori Whiteman and Lyubov Remennik and Nicholas Sioutos and Zhang, \{Guo Qiang\}",

note = "Publisher Copyright: {\textcopyright} 2020 by American Society of Clinical Oncology Licensed under the Creative Commons Attribution 4.0 License",

year = "2020",

doi = "10.1200/CCI.19.00124",

language = "English",

volume = "4",

pages = "392--398",

}

TY - JOUR

T1 - Enhancing the quality of hierarchic relations in the national cancer institute thesaurus to enable faceted query of cancer registry data

AU - Cui, Licong

AU - Abeysinghe, Rashmie

AU - Zheng, Fengbo

AU - Tao, Shiqiang

AU - Zeng, Ningzhou

AU - Hands, Isaac

AU - Durbin, Eric B.

AU - Whiteman, Lori

AU - Remennik, Lyubov

AU - Sioutos, Nicholas

AU - Zhang, Guo Qiang

PY - 2020

Y1 - 2020

N2 - PURPOSE To audit and improve the completeness of the hierarchic (or is-a) relations of the National Cancer Institute (NCI) Thesaurus to support its role as a faceted system for querying cancer registry data. METHODS We performed quality auditing of the 19.01d version of the NCI Thesaurus. Our hybrid auditing method consisted of three main steps: computing nonlattice subgraphs, constructing lexical features for concepts in each subgraph, and performing subsumption reasoning with each subgraph to automatically suggest potentially missing is-a relations. RESULTS A total of 9,512 nonlattice subgraphs were obtained. Our method identified 925 potentially missing is-a relations in 441 nonlattice subgraphs; 72 of 176 reviewed samples were confirmed as valid missing is-a relations and have been incorporated in the newer versions of the NCI Thesaurus. CONCLUSION Autosuggested changes resulting from our auditing method can improve the structural organization of the NCI Thesaurus in supporting its new role for faceted query.

AB - PURPOSE To audit and improve the completeness of the hierarchic (or is-a) relations of the National Cancer Institute (NCI) Thesaurus to support its role as a faceted system for querying cancer registry data. METHODS We performed quality auditing of the 19.01d version of the NCI Thesaurus. Our hybrid auditing method consisted of three main steps: computing nonlattice subgraphs, constructing lexical features for concepts in each subgraph, and performing subsumption reasoning with each subgraph to automatically suggest potentially missing is-a relations. RESULTS A total of 9,512 nonlattice subgraphs were obtained. Our method identified 925 potentially missing is-a relations in 441 nonlattice subgraphs; 72 of 176 reviewed samples were confirmed as valid missing is-a relations and have been incorporated in the newer versions of the NCI Thesaurus. CONCLUSION Autosuggested changes resulting from our auditing method can improve the structural organization of the NCI Thesaurus in supporting its new role for faceted query.

UR - https://www.scopus.com/pages/publications/85084409372

UR - https://www.scopus.com/inward/citedby.url?scp=85084409372&partnerID=8YFLogxK

U2 - 10.1200/CCI.19.00124

DO - 10.1200/CCI.19.00124

M3 - Article

C2 - 32374632

AN - SCOPUS:85084409372

SN - 2473-4276

VL - 4

SP - 392

EP - 398

JO - JCO clinical cancer informatics

JF - JCO clinical cancer informatics

ER -

Enhancing the quality of hierarchic relations in the national cancer institute thesaurus to enable faceted query of cancer registry data

Resumen

Nota bibliográfica

Financiación

ASJC Scopus subject areas

ODS de las Naciones Unidas

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto