Literature DB >> 16779008

Classifying diseases with respect to anatomy: a study in SNOMED CT.

Anita Burgun1, Olivier Bodenreider, Fleur Mougin.   

Abstract

Anatomy is a major organizing principle for dis-eases. In the formal definitions provided by SNOMED CT, for example, the role 'finding site' relates disorders to anatomical entities. This study investigates SNOMED CT and compares the anatomy-based classification of diseases supported by the role finding site to the anatomy-based classification of diseases provided by subsumption (is-a) relations between diseases. For each of the 3,540 anatomical entities associated with disorders,, we compared two sets of disorders: first, the set of disorders associated with any descendant of the anatomical entity under investigation (ANAT); second, the set of dis-orders corresponding to the union of the descendants of the disorders associated with the anatomical entity under investigation (TAXO). The ANAT and TAXO sets were different for 1,231 anatomical entities (35%). In 607 cases, the overlap between ANAT and TAXO was less than 50%. When a difference was found, the TAXO set was always a subset of the ANAT set. Among the 1,025,904 subsumption relations among disorders generated by the ANAT approach, 40% were not present in TAXO. This approach helps identify missing classes and taxonomic relations in existing ontologies. It can be generalized to other kinds of partitions of biomedical ontologies.

Entities:  

Mesh:

Year:  2005        PMID: 16779008      PMCID: PMC1560776     

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


  2 in total

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Authors:  S Schulz; U Hahn; M Romacker
Journal:  Proc AMIA Symp       Date:  2000

2.  The ontology of the gene ontology.

Authors:  Barry Smith; Jennifer Williams; Steffen Schulze-Kremer
Journal:  AMIA Annu Symp Proc       Date:  2003
  2 in total
  4 in total

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Authors:  Le-Thuy T Tran; Guy Divita; Marjorie E Carter; Joshua Judd; Matthew H Samore; Adi V Gundlapalli
Journal:  J Biomed Inform       Date:  2015-09-08       Impact factor: 6.317

2.  Variation of SNOMED CT coding of clinical research concepts among coding experts.

Authors:  James E Andrews; Rachel L Richesson; Jeffrey Krischer
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

3.  Auditing the semantic completeness of SNOMED CT using formal concept analysis.

Authors:  Guoqian Jiang; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

4.  Identification of OBO nonalignments and its implications for OBO enrichment.

Authors:  Michael Bada; Lawrence Hunter
Journal:  Bioinformatics       Date:  2008-05-07       Impact factor: 6.937

  4 in total

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