Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Concept-oriented standardization and statistics-oriented classification: continuing the classification versus

J Ingenerf1, W Giere

  • 1GSF-National Research Center for Environment and Health, Neuherberg, Germany. ingenerf@medinf.mu-luebeck.de

Methods of Information in Medicine
|December 29, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

One Step Away from Technology but One Step Towards Domain Experts-MDRBridge: A Template-Based ISO 11179-Compliant Metadata Processing Pipeline.

Methods of information in medicine·2019
Same author

QL<sup>4</sup>MDR: a GraphQL query language for ISO 11179-based metadata repositories.

BMC medical informatics and decision making·2019
Same author

Design, implementation, and evaluation of a mobile application for patient empowerment and management of long-term follow-up after childhood cancer.

Klinische Padiatrie·2015
Same author

Medical informatics, biometry and epidemiology. Recent developments and advances.

Methods of information in medicine·2014
Same author

Assessing applicability of ontological principles to different types of biomedical vocabularies.

Methods of information in medicine·2009
Same author

[Terminologies or classifications. What does the future hold?].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz·2007

Controlled medical vocabularies need to balance detailed clinical data representation with statistical comparability. This study argues for linking statistical classifications to concept systems while respecting their distinct natures.

Area of Science:

  • Medical Informatics
  • Health Data Science
  • Clinical Terminology

Background:

  • Current controlled medical vocabularies prioritize atomic-level granularity for clinical data.
  • Existing manually created vocabularies have deficits and new demands for computer-based processing.
  • There is a debate on whether statistical requirements should be included in medical vocabulary desiderata.

Purpose of the Study:

  • To address deficits in existing medical vocabularies.
  • To evaluate the inclusion of statistical comparability in controlled medical vocabularies.
  • To continue the classification versus nomenclature controversy.

Main Methods:

  • Comparative analysis of medical vocabulary requirements.
  • Discussion of statistical classifications versus concept-oriented vocabularies.

Related Experiment Videos

  • Referencing existing frameworks (Cimino, Coté).

    • Main Results:

    • Controlled medical vocabularies require concept orientation and compositional structure.
    • Statistical classifications serve different purposes than detailed clinical data representation.
    • A linkage between statistical classifications and concept systems is proposed but their distinct natures remain.

    Conclusions:

    • Methodological requirements for sound statistics should be considered in controlled medical vocabularies.
    • Statistical classifications and concept systems are distinct but can be linked.
    • Reconciling detailed clinical representation with statistical needs is crucial for advanced medical data processing.