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 Concept Videos

In- and Out-Groups01:31

In- and Out-Groups

People all belong to a gender, race, age, and social economic group. These groups provide a powerful source of our identity and self-esteem (Tajfel & Turner, 1979) and serve as our in-groups. An in-group is a group that we identify with or see ourselves as belonging to.
Relationship Formation02:12

Relationship Formation

What do you think is the single most influential factor in determining with whom you become friends and whom you form romantic relationships? You might be surprised to learn that the answer is simple: the people with whom you have the most contact. This most important factor is proximity. You are more likely to be friends with people you have regular contact with. For example, there are decades of research that shows that you are more likely to become friends with people who live in your dorm,...
Sex Linked Disorders01:43

Sex Linked Disorders

Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
Nursing Clinical Information System01:27

Nursing Clinical Information System

Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
Impact of Groups on Groups01:19

Impact of Groups on Groups

Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
Crystallographic Point Groups01:29

Crystallographic Point Groups

Crystallographic point groups represent the various symmetry operations that can occur within crystals. They are unique in that at least one point will always remain unchanged during these actions. For instance, consider the triclinic system. This system, devoid of any axis or plane of symmetry, aligns with the C1 and Ci point groups.where Cᵢ is characterized solely by a center of inversion.Contrastingly, the monoclinic system introduces an element of symmetry. This system with one plane and...

You might also read

Related Articles

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

Sort by
Same author

Mapping the terminology of the early rescue chain to the Foundation of ICD-11: Registered report protocol.

PloS one·2026
Same author

Detecting Patients with Chronic Kidney Disease Using General Practitioner Electronic Health Records and Electronic Phenotypes.

Studies in health technology and informatics·2026
Same author

Current Data Collection Efforts in Neuromuscular Disease Research: A Scoping Review.

Studies in health technology and informatics·2026
Same author

Open Educational Resources on FAIR Data: Preliminary Results from a Systematic Review.

Studies in health technology and informatics·2026
Same author

Semantic Harmonization Workflow of Health Data: Application in the Post-COVID Network Netherlands.

Studies in health technology and informatics·2026
Same author

The Ethics of Leveraging Routinely Collected Patient Data for AI Development: Mixed Methods Study.

Journal of medical Internet research·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: Jun 20, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Relationship groups in SNOMED CT.

Ronald Cornet1, Stefan Schulz

  • 1Department of Medical Informatics, Academic Medical Center - University of Amsterdam, 1100 DE Amsterdam, The Netherlands. R.Cornet@amc.uva.nl

Studies in Health Technology and Informatics
|September 12, 2009
PubMed
Summary
This summary is machine-generated.

Relationship groups in SNOMED CT are analyzed, revealing their use in 28% of concepts. The study suggests these groups can be replaced by simpler relationship types, improving clarity in clinical terminology.

Related Experiment Videos

Last Updated: Jun 20, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

Area of Science:

  • Medical Informatics
  • Clinical Terminology
  • Ontology Engineering

Background:

  • SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms) is a comprehensive clinical terminology.
  • Relationship groups are a specific construct used for representing complex concept relationships within SNOMED CT.
  • Understanding the usage patterns of relationship groups is crucial for optimizing the structure and usability of SNOMED CT.

Purpose of the Study:

  • To analyze the usage frequency and patterns of relationship groups in the July 2008 version of SNOMED CT.
  • To identify the concept types where relationship groups are predominantly employed.
  • To explore alternative approaches for representing the information currently conveyed by relationship groups.

Main Methods:

  • Analysis of the July 2008 release of SNOMED CT.
  • Examination of the 65 available relationship types to identify those utilizing relationship groups.
  • Categorization of concepts based on their type (e.g., procedure, finding, situation, specimen) to assess relationship group application.
  • Qualitative analysis of examples to infer the functional purposes of role groups.

Main Results:

  • Relationship groups were found to be used with 36 out of 65 relationship types.
  • Relationship groups play a role in approximately 28% of all SNOMED CT concepts.
  • Usage is concentrated in concept types including 'procedure', 'finding', 'situation with explicit context', and 'specimen'.

Conclusions:

  • The current implementation of relationship groups in SNOMED CT is extensive but potentially complex.
  • Alternative, simpler relationship types, such as 'has sign' or 'has subprocess', could effectively replace many uses of relationship groups.
  • Simplifying the representation of complex relationships can enhance the clarity and efficiency of SNOMED CT.