Automated enhancement of description logic-defined terminologies to facilitate mapping to ICD9-CM
Compositional (post-coordinated) terminologies are one potential solution to the problem of content completeness. However, they have the potential to render data incomparable. For computers to determine that compositional expressions are comparable, the relations between the composed components that...
Gespeichert in:
Veröffentlicht in: | Journal of biomedical informatics 2002-10, Vol.35 (5), p.281-288 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 288 |
---|---|
container_issue | 5 |
container_start_page | 281 |
container_title | Journal of biomedical informatics |
container_volume | 35 |
creator | Elkin, P.L Brown, S.H |
description | Compositional (post-coordinated) terminologies are one potential solution to the problem of content completeness. However, they have the potential to render data incomparable. For computers to determine that compositional expressions are comparable, the relations between the composed components that are understood implicitly by human readers must be represented explicitly for computer manipulation. We discuss a technique for discovering and formalizing the implicit semantic relationships in two vocabularies: the International Classification of Disease Version 9 Clinical Modification (ICD9-CM), and SNOMED-Reference Terminology (SNOMED-RT). The results of this technique are used to augment the existing SNOMED-RT relation ontology
[1], which is a necessary step in automated concept mapping between systems. The reference terminology must contain all the semantics implicit in the classification in order to map concepts between the two representations. We also provide an explicit representation of the implied semantics of ICD9-CM. This tabulation will be useful for other knowledge engineering efforts involving ICD9-CM. |
doi_str_mv | 10.1016/S1532-0464(03)00019-4 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_72911786</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1532046403000194</els_id><sourcerecordid>19711726</sourcerecordid><originalsourceid>FETCH-LOGICAL-c422t-fa450e0ee1cf04ffefa6a84aaf78e85b6a800135d60315e19182b2bdd39608a53</originalsourceid><addsrcrecordid>eNqFkU9P3DAQxS3Uin_lI4ByKYJDWtuxHeeEVgu0SFQ9FM6W1x6DqyRObW8lvn0dNipHTuN5-s149B5CpwR_IZiIr78Ib2iNmWAXuLnEGJOuZnvocJEl_vD_LdgBOkrpd2EI52IfHRDaCdm24hDp1TaHQWewFYzPejQwwJir4CoLyUQ_ZR_Gqg9P3tQWnB8LmCEOfgyzCKnKoXLa-N7nsqUa9DT58WlW79bXXb3-8Ql9dLpPcLLUY_R4e_Ow_l7f__x2t17d14ZRmmunGceAAYhxmDkHTgstmdaulSD5pjTl_oZbgRvCgXRE0g3dWNt0AkvNm2N0vts7xfBnCymrwScDfa9HCNukWtoR0krxLki6toB0BvkONDGkFMGpKfpBxxdFsJpDUK8hqNlhhRv1GoJiZe5s-WC7GcC-TS2uF-DzAuhkdO9i8d2nN45j2VBKCne146D49tdDVMl4KBlZH8FkZYN_55R_1j-jnQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>19711726</pqid></control><display><type>article</type><title>Automated enhancement of description logic-defined terminologies to facilitate mapping to ICD9-CM</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Elkin, P.L ; Brown, S.H</creator><creatorcontrib>Elkin, P.L ; Brown, S.H</creatorcontrib><description>Compositional (post-coordinated) terminologies are one potential solution to the problem of content completeness. However, they have the potential to render data incomparable. For computers to determine that compositional expressions are comparable, the relations between the composed components that are understood implicitly by human readers must be represented explicitly for computer manipulation. We discuss a technique for discovering and formalizing the implicit semantic relationships in two vocabularies: the International Classification of Disease Version 9 Clinical Modification (ICD9-CM), and SNOMED-Reference Terminology (SNOMED-RT). The results of this technique are used to augment the existing SNOMED-RT relation ontology
[1], which is a necessary step in automated concept mapping between systems. The reference terminology must contain all the semantics implicit in the classification in order to map concepts between the two representations. We also provide an explicit representation of the implied semantics of ICD9-CM. This tabulation will be useful for other knowledge engineering efforts involving ICD9-CM.</description><identifier>ISSN: 1532-0464</identifier><identifier>EISSN: 1532-0480</identifier><identifier>DOI: 10.1016/S1532-0464(03)00019-4</identifier><identifier>PMID: 12968776</identifier><identifier>CODEN: JBIOBL</identifier><language>eng</language><publisher>San Diego, CA: Elsevier Inc</publisher><subject>Automation ; Biological and medical sciences ; Controlled health terminologies ; Description logic ; Disease - classification ; Humans ; ICD9-CM ; Medical informatics ; Medical Records Systems, Computerized ; Medical sciences ; Models, Theoretical ; SNOMED ; Systematized Nomenclature of Medicine ; Systems Integration ; Terminology as Topic ; User-Computer Interface ; Vocabulary</subject><ispartof>Journal of biomedical informatics, 2002-10, Vol.35 (5), p.281-288</ispartof><rights>2003 Elsevier Science (USA)</rights><rights>2003 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c422t-fa450e0ee1cf04ffefa6a84aaf78e85b6a800135d60315e19182b2bdd39608a53</citedby><cites>FETCH-LOGICAL-c422t-fa450e0ee1cf04ffefa6a84aaf78e85b6a800135d60315e19182b2bdd39608a53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1532046403000194$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15083221$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12968776$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Elkin, P.L</creatorcontrib><creatorcontrib>Brown, S.H</creatorcontrib><title>Automated enhancement of description logic-defined terminologies to facilitate mapping to ICD9-CM</title><title>Journal of biomedical informatics</title><addtitle>J Biomed Inform</addtitle><description>Compositional (post-coordinated) terminologies are one potential solution to the problem of content completeness. However, they have the potential to render data incomparable. For computers to determine that compositional expressions are comparable, the relations between the composed components that are understood implicitly by human readers must be represented explicitly for computer manipulation. We discuss a technique for discovering and formalizing the implicit semantic relationships in two vocabularies: the International Classification of Disease Version 9 Clinical Modification (ICD9-CM), and SNOMED-Reference Terminology (SNOMED-RT). The results of this technique are used to augment the existing SNOMED-RT relation ontology
[1], which is a necessary step in automated concept mapping between systems. The reference terminology must contain all the semantics implicit in the classification in order to map concepts between the two representations. We also provide an explicit representation of the implied semantics of ICD9-CM. This tabulation will be useful for other knowledge engineering efforts involving ICD9-CM.</description><subject>Automation</subject><subject>Biological and medical sciences</subject><subject>Controlled health terminologies</subject><subject>Description logic</subject><subject>Disease - classification</subject><subject>Humans</subject><subject>ICD9-CM</subject><subject>Medical informatics</subject><subject>Medical Records Systems, Computerized</subject><subject>Medical sciences</subject><subject>Models, Theoretical</subject><subject>SNOMED</subject><subject>Systematized Nomenclature of Medicine</subject><subject>Systems Integration</subject><subject>Terminology as Topic</subject><subject>User-Computer Interface</subject><subject>Vocabulary</subject><issn>1532-0464</issn><issn>1532-0480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkU9P3DAQxS3Uin_lI4ByKYJDWtuxHeeEVgu0SFQ9FM6W1x6DqyRObW8lvn0dNipHTuN5-s149B5CpwR_IZiIr78Ib2iNmWAXuLnEGJOuZnvocJEl_vD_LdgBOkrpd2EI52IfHRDaCdm24hDp1TaHQWewFYzPejQwwJir4CoLyUQ_ZR_Gqg9P3tQWnB8LmCEOfgyzCKnKoXLa-N7nsqUa9DT58WlW79bXXb3-8Ql9dLpPcLLUY_R4e_Ow_l7f__x2t17d14ZRmmunGceAAYhxmDkHTgstmdaulSD5pjTl_oZbgRvCgXRE0g3dWNt0AkvNm2N0vts7xfBnCymrwScDfa9HCNukWtoR0krxLki6toB0BvkONDGkFMGpKfpBxxdFsJpDUK8hqNlhhRv1GoJiZe5s-WC7GcC-TS2uF-DzAuhkdO9i8d2nN45j2VBKCne146D49tdDVMl4KBlZH8FkZYN_55R_1j-jnQ</recordid><startdate>20021001</startdate><enddate>20021001</enddate><creator>Elkin, P.L</creator><creator>Brown, S.H</creator><general>Elsevier Inc</general><general>Academic Press</general><scope>6I.</scope><scope>AAFTH</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>20021001</creationdate><title>Automated enhancement of description logic-defined terminologies to facilitate mapping to ICD9-CM</title><author>Elkin, P.L ; Brown, S.H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c422t-fa450e0ee1cf04ffefa6a84aaf78e85b6a800135d60315e19182b2bdd39608a53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Automation</topic><topic>Biological and medical sciences</topic><topic>Controlled health terminologies</topic><topic>Description logic</topic><topic>Disease - classification</topic><topic>Humans</topic><topic>ICD9-CM</topic><topic>Medical informatics</topic><topic>Medical Records Systems, Computerized</topic><topic>Medical sciences</topic><topic>Models, Theoretical</topic><topic>SNOMED</topic><topic>Systematized Nomenclature of Medicine</topic><topic>Systems Integration</topic><topic>Terminology as Topic</topic><topic>User-Computer Interface</topic><topic>Vocabulary</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elkin, P.L</creatorcontrib><creatorcontrib>Brown, S.H</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biomedical informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elkin, P.L</au><au>Brown, S.H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated enhancement of description logic-defined terminologies to facilitate mapping to ICD9-CM</atitle><jtitle>Journal of biomedical informatics</jtitle><addtitle>J Biomed Inform</addtitle><date>2002-10-01</date><risdate>2002</risdate><volume>35</volume><issue>5</issue><spage>281</spage><epage>288</epage><pages>281-288</pages><issn>1532-0464</issn><eissn>1532-0480</eissn><coden>JBIOBL</coden><abstract>Compositional (post-coordinated) terminologies are one potential solution to the problem of content completeness. However, they have the potential to render data incomparable. For computers to determine that compositional expressions are comparable, the relations between the composed components that are understood implicitly by human readers must be represented explicitly for computer manipulation. We discuss a technique for discovering and formalizing the implicit semantic relationships in two vocabularies: the International Classification of Disease Version 9 Clinical Modification (ICD9-CM), and SNOMED-Reference Terminology (SNOMED-RT). The results of this technique are used to augment the existing SNOMED-RT relation ontology
[1], which is a necessary step in automated concept mapping between systems. The reference terminology must contain all the semantics implicit in the classification in order to map concepts between the two representations. We also provide an explicit representation of the implied semantics of ICD9-CM. This tabulation will be useful for other knowledge engineering efforts involving ICD9-CM.</abstract><cop>San Diego, CA</cop><pub>Elsevier Inc</pub><pmid>12968776</pmid><doi>10.1016/S1532-0464(03)00019-4</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1532-0464 |
ispartof | Journal of biomedical informatics, 2002-10, Vol.35 (5), p.281-288 |
issn | 1532-0464 1532-0480 |
language | eng |
recordid | cdi_proquest_miscellaneous_72911786 |
source | MEDLINE; Elsevier ScienceDirect Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Automation Biological and medical sciences Controlled health terminologies Description logic Disease - classification Humans ICD9-CM Medical informatics Medical Records Systems, Computerized Medical sciences Models, Theoretical SNOMED Systematized Nomenclature of Medicine Systems Integration Terminology as Topic User-Computer Interface Vocabulary |
title | Automated enhancement of description logic-defined terminologies to facilitate mapping to ICD9-CM |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T09%3A26%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Automated%20enhancement%20of%20description%20logic-defined%20terminologies%20to%20facilitate%20mapping%20to%20ICD9-CM&rft.jtitle=Journal%20of%20biomedical%20informatics&rft.au=Elkin,%20P.L&rft.date=2002-10-01&rft.volume=35&rft.issue=5&rft.spage=281&rft.epage=288&rft.pages=281-288&rft.issn=1532-0464&rft.eissn=1532-0480&rft.coden=JBIOBL&rft_id=info:doi/10.1016/S1532-0464(03)00019-4&rft_dat=%3Cproquest_cross%3E19711726%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=19711726&rft_id=info:pmid/12968776&rft_els_id=S1532046403000194&rfr_iscdi=true |