Disease management research using event graphs.
Comput Biomed Res
; 33(4): 245-59, 2000 Aug.
Article
en En
| MEDLINE
| ID: mdl-10944404
Event Graphs, conditional representations of stochastic relationships between discrete events, simulate disease dynamics. In this paper, we demonstrate how Event Graphs, at an appropriate abstraction level, also extend and organize scientific knowledge about diseases. They can identify promising treatment strategies and directions for further research and provide enough detail for testing combinations of new medicines and interventions. Event Graphs can be enriched to incorporate and validate data and test new theories to reflect an expanding dynamic scientific knowledge base and establish performance criteria for the economic viability of new treatments. To illustrate, an Event Graph is developed for mastitis, a costly dairy cattle disease, for which extensive scientific literature exists. With only a modest amount of imagination, the methodology presented here can be seen to apply modeling to any disease, human, plant, or animal. The Event Graph simulation presented here is currently being used in research and in a new veterinary epidemiology course.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Manejo de la Enfermedad
Tipo de estudio:
Health_economic_evaluation
/
Prognostic_studies
Límite:
Animals
/
Female
/
Humans
Idioma:
En
Revista:
Comput Biomed Res
Año:
2000
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Estados Unidos