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

Journal: Journal of biomedical semantics
Published Date:

Abstract

BACKGROUND: Medical ontologies are expected to contribute to the effective use of medical information resources that store considerable amount of data. In this study, we focused on disease ontology because the complicated mechanisms of diseases are related to concepts across various medical domains. The authors developed a River Flow Model (RFM) of diseases, which captures diseases as the causal chains of abnormal states. It represents causes of diseases, disease progression, and downstream consequences of diseases, which is compliant with the intuition of medical experts. In this paper, we discuss a fact repository for causal chains of disease based on the disease ontology. It could be a valuable knowledge base for advanced medical information systems.

Authors

  • Kouji Kozaki
    The Institute of Scientific and Industrial Research, Osaka University, Osaka, Japan.
  • Yuki Yamagata
    National Institute of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka, 567-0085, Japan.
  • Riichiro Mizoguchi
    Research Center for Service Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, 923-1292, Japan.
  • Takeshi Imai
    Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Kazuhiko Ohe
    Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.