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

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

713
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
713
Classification of Illness01:17

Classification of Illness

9.1K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
9.1K
Genomics02:02

Genomics

41.1K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
41.1K
Concepts of Health and Illness01:29

Concepts of Health and Illness

18.9K
Health is a condition of the body, mind, and spirit where an individual remains free from illness. Similarly, wellness is an active state, including living a lifestyle that promotes physical, mental, and emotional health. Physical health is critical for the overall well-being and can be affected by lifestyle, activity level, diet, and behavior. The highest attainable standard of health is a fundamental and universal human right. Consider Lisa, a fifteen-year-old born with congenital...
18.9K
Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

2.2K
The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
2.2K
Nursing Clinical Information System01:27

Nursing Clinical Information System

1.3K
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:
1.3K

You might also read

Related Articles

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

Sort by
Same author

FDG-PET/CT for cardiovascular disease: A systems-level imaging framework linking inflammation, metabolism, and neural stress.

Journal of cardiology·2026
Same author

Right ventricular metabolic adaptation to afterload and heterogeneous right ventricular-pulmonary arterial coupling in pre-capillary pulmonary hypertension: An 18F-fluorodeoxyglucose positron emission tomography /cardiac magnetic resonance study.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology·2026
Same author

HeXEHRS: Design and Implementation of a FHIR-Based Cloud EHR and Client for Depopulated Regions with AI and Digital-Twin Integration.

Studies in health technology and informatics·2026
Same author

Evaluating Encoder and Decoder Models for Extended Clinical Concept Recognition in Japanese Clinical Texts: Comparative Study With Weighted Soft Matching.

Journal of medical Internet research·2026
Same author

Evaluating Encoder and Decoder Models for Extended Clinical Concept Recognition in Japanese Clinical Texts: A Comparative Study with Weighted Soft Matching.

Journal of medical Internet research·2026
Same author

Differential Vascular Response to Corticosteroid Therapy in Takayasu Arteritis Revealed by Serial FDG-PET Imaging.

European journal of nuclear medicine and molecular imaging·2026

Related Experiment Video

Updated: Feb 28, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.2K

Disease Compass- a navigation system for disease knowledge based on ontology and linked data techniques.

Kouji Kozaki1, Yuki Yamagata2, Riichiro Mizoguchi3

  • 1The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan. kozaki@ei.sanken.osaka-u.ac.jp.

Journal of Biomedical Semantics
|June 21, 2017
PubMed
Summary

This study introduces a novel disease ontology and fact repository, enabling a comprehensive understanding of disease causal chains. Disease Compass facilitates exploration of complex disease knowledge for medical professionals.

Keywords:
Definition of diseasesDisease ontologyLinked dataNavigation systemRiver flow model of disease

More Related Videos

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.6K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K

Related Experiment Videos

Last Updated: Feb 28, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.2K
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

10.6K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K

Area of Science:

  • Medical Informatics
  • Ontology Engineering
  • Knowledge Representation

Background:

  • Medical ontologies are crucial for managing vast medical data.
  • Disease complexity necessitates a focus on disease ontology for understanding causal mechanisms.
  • Existing resources lack a structured representation of disease causal chains.

Purpose of the Study:

  • To develop a fact repository for disease causal chains based on a novel disease ontology.
  • To implement a River Flow Model (RFM) for representing disease etiology, progression, and consequences.
  • To create a valuable knowledge base for advanced medical information systems.

Main Methods:

  • Developed a disease ontology and abnormality ontology.
  • Constructed a fact repository using a Resource Description Framework (RDF) model for causal chains.
  • Implemented linked data principles for accessibility via SPARQL queries.

Main Results:

  • Designed an RDF model implementing the RFM for the fact repository.
  • Published 1554 diseases and 7080 abnormal states as linked data with a SPARQL endpoint.
  • Developed Disease Compass, a navigation system providing disease causal chains and related information via web services.

Conclusions:

  • Disease Compass offers a holistic view of disease processes aligned with clinical understanding.
  • The system supports user exploration of disease knowledge by integrating diverse information sources.
  • The developed fact repository serves as a robust knowledge base for medical applications.