Literature DB >> 30815072

Variation in the representation of human anatomy within digital resources: Implications for data integration.

Melissa D Clarkson1, Mark E Whipple2,3.   

Abstract

Clinical informatics makes use of anatomical representation-particularly in the form of anatomical terms. But differences and ambiguities in naming anatomical structures and partitioning the body can complicate efforts to interlink anatomical resources and integrate clinical data. To better understand differences in representations of human anatomy, we compare five digital resources: a formal ontology, a terminology, and three 3D graphics applications. Because the graphics applications offer explicit representation of the boundaries and partitions of anatomical structures, they reveal the differences in modeling of anatomy that may not be apparent through text-based representations. The variations in these resources allow us to categorize differences in representations of anatomy and to highlight the importance of this topic in the context of clinical informatics.

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Mesh:

Year:  2018        PMID: 30815072      PMCID: PMC6371295     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  9 in total

1.  Clinical terminology: why is it so hard?

Authors:  A L Rector
Journal:  Methods Inf Med       Date:  1999-12       Impact factor: 2.176

2.  Comparing the representation of anatomy in the FMA and SNOMED CT.

Authors:  Olivier Bodenreider; Songmao Zhang
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  Identifying mismatches in alignments of large anatomical ontologies.

Authors:  Songmao Zhang; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

4.  Issues in integrating epidemiology and research information in oncology: experience with ICD-O3 and the NCI Thesaurus.

Authors:  Anita Burgun; Olivier Bodenreider
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

5.  The mouse-human anatomy ontology mapping project.

Authors:  Terry F Hayamizu; Sherri de Coronado; Gilberto Fragoso; Nicholas Sioutos; James A Kadin; Martin Ringwald
Journal:  Database (Oxford)       Date:  2012-03-20       Impact factor: 3.451

6.  Interoperability between phenotypes in research and healthcare terminologies--Investigating partial mappings between HPO and SNOMED CT.

Authors:  Ferdinand Dhombres; Olivier Bodenreider
Journal:  J Biomed Semantics       Date:  2016-02-09

Review 7.  Experiences from the anatomy track in the ontology alignment evaluation initiative.

Authors:  Zlatan Dragisic; Valentina Ivanova; Huanyu Li; Patrick Lambrix
Journal:  J Biomed Semantics       Date:  2017-12-04

8.  BodyParts3D: 3D structure database for anatomical concepts.

Authors:  Nobutaka Mitsuhashi; Kaori Fujieda; Takuro Tamura; Shoko Kawamoto; Toshihisa Takagi; Kousaku Okubo
Journal:  Nucleic Acids Res       Date:  2008-10-03       Impact factor: 16.971

9.  RefEx, a reference gene expression dataset as a web tool for the functional analysis of genes.

Authors:  Hiromasa Ono; Osamu Ogasawara; Kosaku Okubo; Hidemasa Bono
Journal:  Sci Data       Date:  2017-08-29       Impact factor: 6.444

  9 in total

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