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Items: 1 to 20 of 225

1.

Inter-patient distance metrics using SNOMED CT defining relationships.

Melton GB, Parsons S, Morrison FP, Rothschild AS, Markatou M, Hripcsak G.

J Biomed Inform. 2006 Dec;39(6):697-705. Epub 2006 Feb 24.

2.

Measures of semantic similarity and relatedness in the biomedical domain.

Pedersen T, Pakhomov SV, Patwardhan S, Chute CG.

J Biomed Inform. 2007 Jun;40(3):288-99. Epub 2006 Jun 10.

3.

Towards the development of a conceptual distance metric for the UMLS.

Caviedes JE, Cimino JJ.

J Biomed Inform. 2004 Apr;37(2):77-85.

4.

Representation of ophthalmology concepts by electronic systems: adequacy of controlled medical terminologies.

Chiang MF, Casper DS, Cimino JJ, Starren J.

Ophthalmology. 2005 Feb;112(2):175-83.

PMID:
15691548
5.

An evaluation of the usefulness of two terminology models for integrating nursing diagnosis concepts into SNOMED Clinical Terms.

Bakken S, Warren JJ, Lundberg C, Casey A, Correia C, Konicek D, Zingo C.

Int J Med Inform. 2002 Dec 18;68(1-3):71-7.

PMID:
12467792
6.

What is the coverage of SNOMED CT®on scientific medical corpora?

Kokkinakis D.

Stud Health Technol Inform. 2011;169:814-8.

PMID:
21893860
7.

A practical approach to advanced terminology services in health information systems.

Gambarte ML, Osornio AL, Martinez M, Reynoso G, Luna D, de Quiros FG.

Stud Health Technol Inform. 2007;129(Pt 1):621-5.

PMID:
17911791
8.

Integration of tools for binding archetypes to SNOMED CT.

Sundvall E, Qamar R, Nyström M, Forss M, Petersson H, Karlsson D, Ahlfeldt H, Rector A.

BMC Med Inform Decis Mak. 2008 Oct 27;8 Suppl 1:S7. doi: 10.1186/1472-6947-8-S1-S7.

9.

Representation of disorders of the newborn infant by SNOMED CT.

James AG, Spackman KA.

Stud Health Technol Inform. 2008;136:833-8.

PMID:
18487835
10.

Automatic mapping of clinical documentation to SNOMED CT.

Stenzhorn H, Pacheco EJ, Nohama P, Schulz S.

Stud Health Technol Inform. 2009;150:228-32.

PMID:
19745302
11.

Development and evaluation of RapTAT: a machine learning system for concept mapping of phrases from medical narratives.

Gobbel GT, Reeves R, Jayaramaraja S, Giuse D, Speroff T, Brown SH, Elkin PL, Matheny ME.

J Biomed Inform. 2014 Apr;48:54-65. doi: 10.1016/j.jbi.2013.11.008. Epub 2013 Dec 4.

12.
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14.

SNOMED-CT: The advanced terminology and coding system for eHealth.

Donnelly K.

Stud Health Technol Inform. 2006;121:279-90.

PMID:
17095826
15.

Design principles of DOLCE-based formal representation of ICD10.

Héja G, Varga P, Surján G.

Stud Health Technol Inform. 2008;136:821-6.

PMID:
18487833
16.

Biosurveillance evaluation of SNOMED CT's terminology (BEST Trial): coverage of chief complaints.

Elkin PL, Brown SH, Balas A, Temesgen Z, Wahner-Roedler D, Froehling D, Liebow M, Trusko B, Rosenbloom ST, Poland G.

Stud Health Technol Inform. 2008;136:797-802.

PMID:
18487829
17.

Evaluation of SNOMED coverage of Veterans Health Administration terms.

Penz JF, Brown SH, Carter JS, Elkin PL, Nguyen VN, Sims SA, Lincoln MJ.

Stud Health Technol Inform. 2004;107(Pt 1):540-4.

PMID:
15360871
18.

The Health Archetype Language (HAL-42): interface considerations.

Elkin PL, Froehling D, Wahner-Roedler D, Trusko B, Welsh G, Rosenbloom ST, Speroff T, Brown SH.

Int J Med Inform. 2010 Apr;79(4):e71-5. doi: 10.1016/j.ijmedinf.2008.07.009. Epub 2008 Oct 14.

PMID:
18922738
19.

A web-based SNOMED CT browser: distributed and real-time use of SNOMED CT during the clinical research process.

Richesson R, Syed A, Guillette H, Tuttle MS, Krischer J.

Stud Health Technol Inform. 2007;129(Pt 1):631-5.

PMID:
17911793
20.

Enhanced information retrieval from narrative German-language clinical text documents using automated document classification.

Spat S, Cadonna B, Rakovac I, Gütl C, Leitner H, Stark G, Beck P.

Stud Health Technol Inform. 2008;136:473-8.

PMID:
18487776

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