Literature DB >> 18755993

Why do it the hard way? The case for an expressive description logic for SNOMED.

Alan L Rector1, Sebastian Brandt.   

Abstract

There has been major progress both in description logics and ontology design since SNOMED was originally developed. The emergence of the standard Web Ontology language in its latest revision, OWL 1.1 is leading to a rapid proliferation of tools. Combined with the increase in computing power in the past two decades, these developments mean that many of the restrictions that limited SNOMED's original formulation no longer need apply. We argue that many of the difficulties identified in SNOMED could be more easily dealt with using a more expressive language than that in which SNOMED was originally, and still is, formulated. The use of a more expressive language would bring major benefits including a uniform structure for context and negation. The result would be easier to use and would simplify developing software and formulating queries.

Mesh:

Year:  2008        PMID: 18755993      PMCID: PMC2585532          DOI: 10.1197/jamia.M2797

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  8 in total

1.  Investigating subsumption in SNOMED CT: an exploration into large description logic-based biomedical terminologies.

Authors:  Olivier Bodenreider; Barry Smith; Anand Kumar; Anita Burgun
Journal:  Artif Intell Med       Date:  2007-01-22       Impact factor: 5.326

2.  Reliability of SNOMED-CT coding by three physicians using two terminology browsers.

Authors:  Michael F Chiang; John C Hwang; Alexander C Yu; Daniel S Casper; James J Cimino; Justin B Starren
Journal:  AMIA Annu Symp Proc       Date:  2006

3.  The semantics of procedures and diseases in SNOMED CT.

Authors:  S Schulz; S Hanser; U Hahn; J Rogers
Journal:  Methods Inf Med       Date:  2006       Impact factor: 2.176

4.  SNOMED CT's problem list: ontologists' and logicians' therapy suggestions.

Authors:  Stefan Schulz; Boontawee Suntisrivaraporn; Franz Baader
Journal:  Stud Health Technol Inform       Date:  2007

5.  What's in a code? Towards a formal account of the relation of ontologies and coding systems.

Authors:  Alan L Rector
Journal:  Stud Health Technol Inform       Date:  2007

6.  Granularity, scale and collectivity: when size does and does not matter.

Authors:  Alan Rector; Jeremy Rogers; Thomas Bittner
Journal:  J Biomed Inform       Date:  2005-11-28       Impact factor: 6.317

7.  Unambiguous data modeling to ensure higher accuracy term binding to clinical terminologies.

Authors:  Rahil Qamar; Jay Kola; Alan L Rector
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

8.  The GRAIL concept modelling language for medical terminology.

Authors:  A L Rector; S Bechhofer; C A Goble; I Horrocks; W A Nowlan; W D Solomon
Journal:  Artif Intell Med       Date:  1997-02       Impact factor: 5.326

  8 in total
  12 in total

1.  Using the abstraction network in complement to description logics for quality assurance in biomedical terminologies - a case study in SNOMED CT.

Authors:  Duo Wei; Olivier Bodenreider
Journal:  Stud Health Technol Inform       Date:  2010

2.  International classification of diseases, 10th edition, clinical modification and procedure coding system: descriptive overview of the next generation HIPAA code sets.

Authors:  Steven J Steindel
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

3.  Getting the foot out of the pelvis: modeling problems affecting use of SNOMED CT hierarchies in practical applications.

Authors:  Alan L Rector; Sam Brandt; Thomas Schneider
Journal:  J Am Med Inform Assoc       Date:  2011-04-21       Impact factor: 4.497

4.  A common layer of interoperability for biomedical ontologies based on OWL EL.

Authors:  Robert Hoehndorf; Michel Dumontier; Anika Oellrich; Sarala Wimalaratne; Dietrich Rebholz-Schuhmann; Paul Schofield; Georgios V Gkoutos
Journal:  Bioinformatics       Date:  2011-02-21       Impact factor: 6.937

5.  A survey of SNOMED CT direct users, 2010: impressions and preferences regarding content and quality.

Authors:  Gai Elhanan; Yehoshua Perl; James Geller
Journal:  J Am Med Inform Assoc       Date:  2011-08-11       Impact factor: 4.497

6.  Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: the eMERGE Network experience.

Authors:  Jyotishman Pathak; Janey Wang; Sudha Kashyap; Melissa Basford; Rongling Li; Daniel R Masys; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2011-05-19       Impact factor: 4.497

7.  The Sublanguage of Clinical Problem Lists: A Corpus Analysis.

Authors:  Kevin J Peterson; Hongfang Liu
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

8.  The VA Hypertension Primary Care Longitudinal Cohort: Electronic medical records in the post-genomic era.

Authors:  Rany M Salem; Braj Pandey; Erin Richard; Maple M Fung; Erin P Garcia; Victoria H Brophy; Nicholas J Schork; Daniel T O'Connor; Vibha Bhatnagar
Journal:  Health Informatics J       Date:  2010-12       Impact factor: 2.681

9.  Determining correspondences between high-frequency MedDRA concepts and SNOMED: a case study.

Authors:  Prakash M Nadkarni; Jonathan D Darer
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-28       Impact factor: 2.796

10.  Open biomedical pluralism: formalising knowledge about breast cancer phenotypes.

Authors:  Aleksandra Sojic; Oliver Kutz
Journal:  J Biomed Semantics       Date:  2012-09-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.