A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships
Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminolo...
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| Vydáno v: | Journal of the American Medical Informatics Association : JAMIA Ročník 22; číslo 3; s. 628 |
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| Hlavní autoři: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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England
01.05.2015
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| ISSN: | 1527-974X, 1527-974X |
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| Abstract | Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie, without attribute relationships) and similar description-logic-based terminologies.
We introduce the tribal abstraction network (TAN), based on the notion of a tribe-a subhierarchy rooted at a child of a hierarchy root, assuming only the existence of concepts with multiple parents. The TAN summarizes a hierarchy that does not have attribute relationships using sets of concepts, called tribal units that belong to exactly the same multiple tribes. Tribal units are further divided into refined tribal units which contain closely related concepts. A quality assurance methodology that utilizes TAN summarizations is introduced.
A TAN is derived for the Observable entity hierarchy of SNOMED CT, summarizing its content. A TAN-based quality assurance review of the concepts of the hierarchy is performed, and erroneous concepts are shown to appear more frequently in large refined tribal units than in small refined tribal units. Furthermore, more erroneous concepts appear in large refined tribal units of more tribes than of fewer tribes.
In this paper we introduce the TAN for summarizing SNOMED CT target hierarchies. A TAN was derived for the Observable entity hierarchy of SNOMED CT. A quality assurance methodology utilizing the TAN was introduced and demonstrated. |
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| AbstractList | Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie, without attribute relationships) and similar description-logic-based terminologies.OBJECTIVELarge and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie, without attribute relationships) and similar description-logic-based terminologies.We introduce the tribal abstraction network (TAN), based on the notion of a tribe-a subhierarchy rooted at a child of a hierarchy root, assuming only the existence of concepts with multiple parents. The TAN summarizes a hierarchy that does not have attribute relationships using sets of concepts, called tribal units that belong to exactly the same multiple tribes. Tribal units are further divided into refined tribal units which contain closely related concepts. A quality assurance methodology that utilizes TAN summarizations is introduced.METHODSWe introduce the tribal abstraction network (TAN), based on the notion of a tribe-a subhierarchy rooted at a child of a hierarchy root, assuming only the existence of concepts with multiple parents. The TAN summarizes a hierarchy that does not have attribute relationships using sets of concepts, called tribal units that belong to exactly the same multiple tribes. Tribal units are further divided into refined tribal units which contain closely related concepts. A quality assurance methodology that utilizes TAN summarizations is introduced.A TAN is derived for the Observable entity hierarchy of SNOMED CT, summarizing its content. A TAN-based quality assurance review of the concepts of the hierarchy is performed, and erroneous concepts are shown to appear more frequently in large refined tribal units than in small refined tribal units. Furthermore, more erroneous concepts appear in large refined tribal units of more tribes than of fewer tribes.RESULTSA TAN is derived for the Observable entity hierarchy of SNOMED CT, summarizing its content. A TAN-based quality assurance review of the concepts of the hierarchy is performed, and erroneous concepts are shown to appear more frequently in large refined tribal units than in small refined tribal units. Furthermore, more erroneous concepts appear in large refined tribal units of more tribes than of fewer tribes.In this paper we introduce the TAN for summarizing SNOMED CT target hierarchies. A TAN was derived for the Observable entity hierarchy of SNOMED CT. A quality assurance methodology utilizing the TAN was introduced and demonstrated.CONCLUSIONSIn this paper we introduce the TAN for summarizing SNOMED CT target hierarchies. A TAN was derived for the Observable entity hierarchy of SNOMED CT. A quality assurance methodology utilizing the TAN was introduced and demonstrated. Large and complex terminologies, such as Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT), are prone to errors and inconsistencies. Abstraction networks are compact summarizations of the content and structure of a terminology. Abstraction networks have been shown to support terminology quality assurance. In this paper, we introduce an abstraction network derivation methodology which can be applied to SNOMED CT target hierarchies whose classes are defined using only hierarchical relationships (ie, without attribute relationships) and similar description-logic-based terminologies. We introduce the tribal abstraction network (TAN), based on the notion of a tribe-a subhierarchy rooted at a child of a hierarchy root, assuming only the existence of concepts with multiple parents. The TAN summarizes a hierarchy that does not have attribute relationships using sets of concepts, called tribal units that belong to exactly the same multiple tribes. Tribal units are further divided into refined tribal units which contain closely related concepts. A quality assurance methodology that utilizes TAN summarizations is introduced. A TAN is derived for the Observable entity hierarchy of SNOMED CT, summarizing its content. A TAN-based quality assurance review of the concepts of the hierarchy is performed, and erroneous concepts are shown to appear more frequently in large refined tribal units than in small refined tribal units. Furthermore, more erroneous concepts appear in large refined tribal units of more tribes than of fewer tribes. In this paper we introduce the TAN for summarizing SNOMED CT target hierarchies. A TAN was derived for the Observable entity hierarchy of SNOMED CT. A quality assurance methodology utilizing the TAN was introduced and demonstrated. |
| Author | Geller, James Ochs, Christopher Hripcsak, George Agrawal, Ankur Perl, Yehoshua Chen, Yan Case, James T |
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| Keywords | abstraction network SNOMED CT terminology summarization terminology without lateral relationships terminology quality assurance hierarchical abstraction network |
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| References | 21907827 - J Biomed Inform. 2012 Feb;45(1):1-14 11971884 - J Am Med Inform Assoc. 2002 May-Jun;9(3):230-8 14681409 - Nucleic Acids Res. 2004 Jan 1;32(Database issue):D267-70 18693845 - AMIA Annu Symp Proc. 2007 Oct 11;:294-8 18998838 - AMIA Annu Symp Proc. 2008 Nov 06;:273-7 20962130 - J Am Med Inform Assoc. 2010 Nov-Dec;17(6):675-80 21878396 - J Biomed Inform. 2012 Feb;45(1):15-29 18693849 - AMIA Annu Symp Proc. 2007 Oct 11;:314-8 10641964 - J Am Med Inform Assoc. 2000 Jan-Feb;7(1):66-80 20351941 - AMIA Annu Symp Proc. 2009 Nov 14;2009:685-9 23602702 - Artif Intell Med. 2013 Jun;58(2):73-80 22687822 - J Biomed Inform. 2012 Dec;45(6):1042-8 21515545 - J Am Med Inform Assoc. 2011 Jul-Aug;18(4):432-40 21836159 - J Am Med Inform Assoc. 2011 Dec;18 Suppl 1:i36-44 16964349 - Methods Inf Med. 2006;45(4):354-8 24551393 - AMIA Annu Symp Proc. 2013 Nov 16;2013:1071-80 18619563 - J Biomed Inform. 2009 Feb;42(1):41-52 22024315 - J Biomed Inform. 2012 Apr;45(2):199-209 24551319 - AMIA Annu Symp Proc. 2013 Nov 16;2013:17-26 23304293 - AMIA Annu Symp Proc. 2012;2012:237-46 19567802 - J Am Med Inform Assoc. 2009 Sep-Oct;16(5):746-57 17276736 - J Biomed Inform. 2007 Oct;40(5):561-81 24551360 - AMIA Annu Symp Proc. 2013 Nov 16;2013:581-90 7719786 - J Am Med Inform Assoc. 1994 Jan-Feb;1(1):35-50 20375446 - J Integr Bioinform. 2010 Mar 25;7(3):null 18629178 - Comp Funct Genomics. 2004;5(8):648-54 16929044 - J Am Med Inform Assoc. 2006 Nov-Dec;13(6):676-90 10428002 - J Am Med Inform Assoc. 1999 Jul-Aug;6(4):283-303 15182845 - Artif Intell Med. 2004 May;31(1):29-44 19285571 - J Biomed Inform. 2009 Jun;42(3):413-25 12463944 - Proc AMIA Symp. 2002;:845-9 18789754 - Int J Med Inform. 2009 Apr;78 Suppl 1:S86-94 16697710 - J Biomed Inform. 2007 Feb;40(1):30-43 20841848 - Stud Health Technol Inform. 2010;160(Pt 2):1070-4 16160352 - Stud Health Technol Inform. 2005;116:773-8 |
| References_xml | – reference: 24551393 - AMIA Annu Symp Proc. 2013 Nov 16;2013:1071-80 – reference: 22687822 - J Biomed Inform. 2012 Dec;45(6):1042-8 – reference: 20375446 - J Integr Bioinform. 2010 Mar 25;7(3):null – reference: 17276736 - J Biomed Inform. 2007 Oct;40(5):561-81 – reference: 20962130 - J Am Med Inform Assoc. 2010 Nov-Dec;17(6):675-80 – reference: 18693849 - AMIA Annu Symp Proc. 2007 Oct 11;:314-8 – reference: 18629178 - Comp Funct Genomics. 2004;5(8):648-54 – reference: 18693845 - AMIA Annu Symp Proc. 2007 Oct 11;:294-8 – reference: 22024315 - J Biomed Inform. 2012 Apr;45(2):199-209 – reference: 16697710 - J Biomed Inform. 2007 Feb;40(1):30-43 – reference: 24551319 - AMIA Annu Symp Proc. 2013 Nov 16;2013:17-26 – reference: 23602702 - Artif Intell Med. 2013 Jun;58(2):73-80 – reference: 16964349 - Methods Inf Med. 2006;45(4):354-8 – reference: 14681409 - Nucleic Acids Res. 2004 Jan 1;32(Database issue):D267-70 – reference: 18789754 - Int J Med Inform. 2009 Apr;78 Suppl 1:S86-94 – reference: 16929044 - J Am Med Inform Assoc. 2006 Nov-Dec;13(6):676-90 – reference: 18619563 - J Biomed Inform. 2009 Feb;42(1):41-52 – reference: 23304293 - AMIA Annu Symp Proc. 2012;2012:237-46 – reference: 21878396 - J Biomed Inform. 2012 Feb;45(1):15-29 – reference: 19567802 - J Am Med Inform Assoc. 2009 Sep-Oct;16(5):746-57 – reference: 21836159 - J Am Med Inform Assoc. 2011 Dec;18 Suppl 1:i36-44 – reference: 20841848 - Stud Health Technol Inform. 2010;160(Pt 2):1070-4 – reference: 12463944 - Proc AMIA Symp. 2002;:845-9 – reference: 15182845 - Artif Intell Med. 2004 May;31(1):29-44 – reference: 19285571 - J Biomed Inform. 2009 Jun;42(3):413-25 – reference: 21515545 - J Am Med Inform Assoc. 2011 Jul-Aug;18(4):432-40 – reference: 21907827 - J Biomed Inform. 2012 Feb;45(1):1-14 – reference: 10428002 - J Am Med Inform Assoc. 1999 Jul-Aug;6(4):283-303 – reference: 18998838 - AMIA Annu Symp Proc. 2008 Nov 06;:273-7 – reference: 7719786 - J Am Med Inform Assoc. 1994 Jan-Feb;1(1):35-50 – reference: 16160352 - Stud Health Technol Inform. 2005;116:773-8 – reference: 20351941 - AMIA Annu Symp Proc. 2009 Nov 14;2009:685-9 – reference: 10641964 - J Am Med Inform Assoc. 2000 Jan-Feb;7(1):66-80 – reference: 11971884 - J Am Med Inform Assoc. 2002 May-Jun;9(3):230-8 – reference: 24551360 - AMIA Annu Symp Proc. 2013 Nov 16;2013:581-90 |
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| Title | A tribal abstraction network for SNOMED CT target hierarchies without attribute relationships |
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