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Related Experiment Videos

Disease management research using event graphs.

H G Allore1, L W Schruben

  • 1Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York 14853, USA.

Computers and Biomedical Research, an International Journal
|August 17, 2000
PubMed
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Event Graphs, a method for modeling disease dynamics, can organize scientific knowledge to identify new treatments and research directions. This approach is applicable to various diseases in humans, animals, and plants.

Area of Science:

  • Computational biology
  • Epidemiology
  • Veterinary medicine

Background:

  • Event Graphs offer a framework for representing conditional relationships between discrete events.
  • Existing methods for disease simulation and knowledge organization have limitations.
  • Scientific literature on diseases contains extensive, yet often unorganized, knowledge.

Purpose of the Study:

  • To demonstrate how Event Graphs can extend and organize scientific knowledge about diseases.
  • To explore the utility of Event Graphs in identifying treatment strategies and research directions.
  • To present a method for enriching Event Graphs with data for theory validation and economic assessment.

Main Methods:

  • Developing Event Graphs as conditional representations of stochastic relationships between discrete events.

Related Experiment Videos

  • Applying Event Graphs at an appropriate abstraction level to organize disease knowledge.
  • Illustrating the methodology with an Event Graph for mastitis in dairy cattle.

    • Main Results:

    • Event Graphs can identify promising treatment strategies and research avenues.
    • The methodology allows for testing combinations of interventions and validating new theories.
    • An Event Graph for mastitis demonstrates the practical application of the approach.

    Conclusions:

    • Event Graphs provide a versatile tool for disease modeling and scientific knowledge organization.
    • The approach supports the dynamic expansion of scientific knowledge and performance criteria for treatments.
    • The Event Graph methodology is applicable across human, plant, and animal diseases and is currently used in research and education.