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Items: 1 to 20 of 56

1.

Standardizing the influenza neuraminidase inhibition assay among United States public health laboratories conducting virological surveillance.

Okomo-Adhiambo M, Mishin VP, Sleeman K, Saguar E, Guevara H, Reisdorf E, Griesser RH, Spackman KJ, Mendenhall M, Carlos MP, Healey B, St George K, Laplante J, Aden T, Chester S, Xu X, Gubareva LV.

Antiviral Res. 2016 Apr;128:28-35. doi: 10.1016/j.antiviral.2016.01.009. Epub 2016 Jan 22.

PMID:
26808479
2.

Semantic Alignment between ICD-11 and SNOMED CT.

Rodrigues JM, Robinson D, Della Mea V, Campbell J, Rector A, Schulz S, Brear H, Üstün B, Spackman K, Chute CG, Millar J, Solbrig H, Brand Persson K.

Stud Health Technol Inform. 2015;216:790-4.

PMID:
26262160
3.

ICD-11 and SNOMED CT Common Ontology: circulatory system.

Rodrigues JM, Schulz S, Rector A, Spackman K, Millar J, Campbell J, Ustün B, Chute CG, Solbrig H, Della Mea V, Persson KB.

Stud Health Technol Inform. 2014;205:1043-7.

PMID:
25160347
4.

What's in a class? Lessons learnt from the ICD - SNOMED CT harmonisation.

Schulz S, Rodrigues JM, Rector A, Spackman K, Campbell J, Ustün B, Chute CG, Solbrig H, Della Mea V, Millar J, Brand Persson K.

Stud Health Technol Inform. 2014;205:1038-42.

PMID:
25160346
5.

Sharing ontology between ICD 11 and SNOMED CT will enable seamless re-use and semantic interoperability.

Rodrigues JM, Schulz S, Rector A, Spackman K, Üstün B, Chute CG, Della Mea V, Millar J, Persson KB.

Stud Health Technol Inform. 2013;192:343-6.

PMID:
23920573
6.

Competing interpretations of disorder codes in SNOMED CT and ICD.

Schulz S, Rector A, Rodrigues JM, Spackman K.

AMIA Annu Symp Proc. 2012;2012:819-27. Epub 2012 Nov 3.

7.

Auditing complex concepts of SNOMED using a refined hierarchical abstraction network.

Wang Y, Halper M, Wei D, Gu H, Perl Y, Xu J, Elhanan G, Chen Y, Spackman KA, Case JT, Hripcsak G.

J Biomed Inform. 2012 Feb;45(1):1-14. doi: 10.1016/j.jbi.2011.08.016. Epub 2011 Sep 1. Review.

8.

Scalable representations of diseases in biomedical ontologies.

Schulz S, Spackman K, James A, Cocos C, Boeker M.

J Biomed Semantics. 2011 May 17;2 Suppl 2:S6. doi: 10.1186/2041-1480-2-S2-S6.

9.

Concerning SNOMED-CT content for public health case reports.

Wilcke JR, Green JM, Spackman KA, Martin MK, Case JT, Santamaria SL, Zimmerman K.

J Am Med Inform Assoc. 2010 Sep-Oct;17(5):613; author reply 613-4. No abstract available.

10.

Auditing SNOMED relationships using a converse abstraction network.

Wei D, Halper M, Elhanan G, Chen Y, Perl Y, Geller J, Spackman KA.

AMIA Annu Symp Proc. 2009 Nov 14;2009:685-9.

11.

Complexity measures to track the evolution of a SNOMED hierarchy.

Wei D, Wang Y, Perl Y, Xu J, Halper M, Spackman KA.

AMIA Annu Symp Proc. 2008 Nov 6:778-82.

12.

Auditing complex concepts in overlapping subsets of SNOMED.

Wang Y, Wei D, Xu J, Elhanan G, Perl Y, Halper M, Chen Y, Spackman KA, Hripcsak G.

AMIA Annu Symp Proc. 2008 Nov 6:273-7.

13.
14.

Analysis of error concentrations in SNOMED.

Halper M, Wang Y, Min H, Chen Y, Hripcsak G, Perl Y, Spackman KA.

AMIA Annu Symp Proc. 2007 Oct 11:314-8.

15.

Would SNOMED CT benefit from realism-based ontology evolution?

Ceusters WM, Spackman KA, Smith B.

AMIA Annu Symp Proc. 2007 Oct 11:105-9.

16.

Representation of disorders of the newborn infant by SNOMED CT.

James AG, Spackman KA.

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

PMID:
18487835
17.

Structural methodologies for auditing SNOMED.

Wang Y, Halper M, Min H, Perl Y, Chen Y, Spackman KA.

J Biomed Inform. 2007 Oct;40(5):561-81. Epub 2006 Dec 24.

19.

Using co-occurrence network structure to extract synonymous gene and protein names from MEDLINE abstracts.

Cohen AM, Hersh WR, Dubay C, Spackman K.

BMC Bioinformatics. 2005 Apr 22;6:103.

20.

SNOMED representation of explanatory knowledge in veterinary clinical pathology.

Zimmerman KL, Wilcke JR, Robertson JL, Feldman BF, Kaur T, Rees LR, Spackman KA.

Vet Clin Pathol. 2005;34(1):7-16.

PMID:
15732011
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